{"id":"https://openalex.org/W3196330266","doi":"https://doi.org/10.3390/s21196655","title":"Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images","display_name":"Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3196330266","doi":"https://doi.org/10.3390/s21196655","mag":"3196330266","pmid":"https://pubmed.ncbi.nlm.nih.gov/34640976"},"language":"en","primary_location":{"id":"doi:10.3390/s21196655","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196655","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6655/pdf?version=1633924302","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/19/6655/pdf?version=1633924302","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091879252","display_name":"Michael J. Horry","orcid":"https://orcid.org/0000-0001-6691-9739"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210120068","display_name":"IBM Research - Australia","ror":"https://ror.org/027r3nx49","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210120068"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Horry","raw_affiliation_strings":["Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia","IBM Australia Ltd., Sydney, NSW 2000, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6691-9739","affiliations":[{"raw_affiliation_string":"Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"IBM Australia Ltd., Sydney, NSW 2000, Australia","institution_ids":["https://openalex.org/I4210120068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033894707","display_name":"Subrata Chakraborty","orcid":"https://orcid.org/0000-0002-0102-5424"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Subrata Chakraborty","raw_affiliation_strings":["Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia","University of Technology, Sydney,"],"raw_orcid":"https://orcid.org/0000-0002-0102-5424","affiliations":[{"raw_affiliation_string":"Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology, Sydney,","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059040421","display_name":"Biswajeet Pradhan","orcid":"https://orcid.org/0000-0001-9863-2054"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["AU","MY"],"is_corresponding":true,"raw_author_name":"Biswajeet Pradhan","raw_affiliation_strings":["Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia","Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-9863-2054","affiliations":[{"raw_affiliation_string":"Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002818315","display_name":"Manoranjan Paul","orcid":"https://orcid.org/0000-0001-6870-5056"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Manoranjan Paul","raw_affiliation_strings":["Machine Vision and Digital Health (MaViDH), School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6870-5056","affiliations":[{"raw_affiliation_string":"Machine Vision and Digital Health (MaViDH), School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012805916","display_name":"Douglas Pinto Sampaio Gomes","orcid":"https://orcid.org/0000-0003-2610-0678"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Douglas Gomes","raw_affiliation_strings":["Machine Vision and Digital Health (MaViDH), School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Vision and Digital Health (MaViDH), School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030762278","display_name":"Anwaar Ulhaq","orcid":"https://orcid.org/0000-0002-5145-7276"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anwaar Ul-Haq","raw_affiliation_strings":["Machine Vision and Digital Health (MaViDH), School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5145-7276","affiliations":[{"raw_affiliation_string":"Machine Vision and Digital Health (MaViDH), School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":null,"display_name":"Abdullah Alamri","orcid":null},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdullah Alamri","raw_affiliation_strings":["Department of Geology and Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geology and Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5033894707","https://openalex.org/A5059040421"],"corresponding_institution_ids":["https://openalex.org/I114017466","https://openalex.org/I885383172"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.1434,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50321894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":"19","first_page":"6655","last_page":"6655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.7083497047424316},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6800612211227417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6334598660469055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127539873123169},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6098273396492004},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6012737154960632},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5897772908210754},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5788348317146301},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.480229914188385},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4281178116798401},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.40869084000587463},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.33357593417167664},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17516958713531494},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15310963988304138},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08883601427078247}],"concepts":[{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.7083497047424316},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6800612211227417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6334598660469055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127539873123169},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6098273396492004},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6012737154960632},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5897772908210754},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5788348317146301},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.480229914188385},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4281178116798401},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.40869084000587463},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.33357593417167664},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17516958713531494},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15310963988304138},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08883601427078247}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":12,"locations":[{"id":"doi:10.3390/s21196655","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196655","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6655/pdf?version=1633924302","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34640976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34640976","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:arXiv.org:2012.05447","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.05447","pdf_url":"https://arxiv.org/pdf/2012.05447","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:rune.une.edu.au:1959.11/43265","is_oa":true,"landing_page_url":"https://hdl.handle.net/1959.11/43265","pdf_url":"https://rune.une.edu.au/bitstreams/c478b1cb-d64c-4987-bbad-a9f3fbab2a80/download","source":{"id":"https://openalex.org/S7407055448","display_name":"RUNE (Research UNE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"mag:3196330266","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2012.05447.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:eprints.vu.edu.au:44932","is_oa":true,"landing_page_url":"https://vuir.vu.edu.au/44932/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:pure.atira.dk:publications/2dffdf27-1085-476c-9bd0-fdd86611edcf","is_oa":true,"landing_page_url":"https://researchoutput.csu.edu.au/en/publications/2dffdf27-1085-476c-9bd0-fdd86611edcf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055442","display_name":"Charles Sturt University Research Output (CRO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Horry, M, Chakraborty, S, Pradhan, B, Paul, M, Gomes, D, Ul-Haq, A & Alamri, A 2021, 'Deep mining generation of lung cancer malignancy models from chest x-ray images', Sensors (Switzerland), vol. 21, no. 19, 6655. https://doi.org/10.3390/s21196655","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:e12f67114ac04e7f923f2fd7f13bfdef","is_oa":true,"landing_page_url":"https://doaj.org/article/e12f67114ac04e7f923f2fd7f13bfdef","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 19, p 6655 (2021)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/25999771","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Deep_mining_generation_of_lung_cancer_malignancy_models_from_chest_x-ray_images/25999771","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/150934","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/150934","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8513105","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8513105","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2012.05447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.05447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s21196655","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196655","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6655/pdf?version=1633924302","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196330266.pdf","grobid_xml":"https://content.openalex.org/works/W3196330266.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W1254232849","https://openalex.org/W1686810756","https://openalex.org/W1965569962","https://openalex.org/W1986649315","https://openalex.org/W2018516781","https://openalex.org/W2025948089","https://openalex.org/W2027511141","https://openalex.org/W2041917171","https://openalex.org/W2061757011","https://openalex.org/W2083927153","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2117857977","https://openalex.org/W2142514727","https://openalex.org/W2147800946","https://openalex.org/W2155593341","https://openalex.org/W2162943801","https://openalex.org/W2165839911","https://openalex.org/W2166805113","https://openalex.org/W2194775991","https://openalex.org/W2304294097","https://openalex.org/W2312643446","https://openalex.org/W2415138112","https://openalex.org/W2480696131","https://openalex.org/W2518108298","https://openalex.org/W2549139847","https://openalex.org/W2562772423","https://openalex.org/W2587787457","https://openalex.org/W2592795921","https://openalex.org/W2592929672","https://openalex.org/W2602929868","https://openalex.org/W2611650229","https://openalex.org/W2617669016","https://openalex.org/W2618530766","https://openalex.org/W2752625590","https://openalex.org/W2765312638","https://openalex.org/W2765863336","https://openalex.org/W2777420618","https://openalex.org/W2791966318","https://openalex.org/W2803760365","https://openalex.org/W2806421113","https://openalex.org/W2810851093","https://openalex.org/W2884561390","https://openalex.org/W2886009564","https://openalex.org/W2888397986","https://openalex.org/W2912992331","https://openalex.org/W2934399013","https://openalex.org/W2945800982","https://openalex.org/W2946236639","https://openalex.org/W2946330662","https://openalex.org/W2949301588","https://openalex.org/W2955212595","https://openalex.org/W2963300950","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2963942157","https://openalex.org/W2964121744","https://openalex.org/W2979001271","https://openalex.org/W2981945558","https://openalex.org/W2982350022","https://openalex.org/W2983538788","https://openalex.org/W3020996329","https://openalex.org/W3030705816","https://openalex.org/W3086667591","https://openalex.org/W3092743670","https://openalex.org/W3101156210","https://openalex.org/W3101181415","https://openalex.org/W3103351005","https://openalex.org/W3119205652","https://openalex.org/W3120894151","https://openalex.org/W3122459568","https://openalex.org/W3184112145","https://openalex.org/W6631190155","https://openalex.org/W6683042120","https://openalex.org/W6684191040","https://openalex.org/W6730635953","https://openalex.org/W6785488471"],"related_works":["https://openalex.org/W3201678653","https://openalex.org/W3112952182","https://openalex.org/W2806462822","https://openalex.org/W2987854584","https://openalex.org/W3096363998","https://openalex.org/W2525205678","https://openalex.org/W3162036332","https://openalex.org/W3175721190","https://openalex.org/W3048712675","https://openalex.org/W3037575710","https://openalex.org/W3165147062","https://openalex.org/W2990742598","https://openalex.org/W2895971778","https://openalex.org/W3168973338","https://openalex.org/W3037263080","https://openalex.org/W3131937258","https://openalex.org/W2185863428","https://openalex.org/W2968254841","https://openalex.org/W3091155229","https://openalex.org/W2902930318"],"abstract_inverted_index":{"Lung":[0],"cancer":[1,7,85,107,228],"is":[2,121,158],"the":[3,39,52,70,172,184,240],"leading":[4],"cause":[5],"of":[6,55,73,118,180,196,206,242],"death":[8],"and":[9,47,98,176,194,198],"morbidity":[10],"worldwide.":[11],"Many":[12],"studies":[13],"have":[14,33],"shown":[15],"machine":[16],"learning":[17,57,97,116],"models":[18,137,163,230],"to":[19,35,43,82,141,171,182,238],"be":[20,36,80,215],"effective":[21],"in":[22],"detecting":[23],"lung":[24,61,76,84,106,134,227],"nodules":[25,62],"from":[26,51,149],"chest":[27,65,146],"X-ray":[28,147],"images.":[29],"However,":[30],"these":[31],"techniques":[32],"yet":[34],"embraced":[37],"by":[38,166],"medical":[40],"community":[41],"due":[42],"several":[44],"practical,":[45],"ethical,":[46],"regulatory":[48],"constraints":[49],"stemming":[50],"\"black-box\"":[53],"nature":[54],"deep":[56,96,115],"models.":[58],"Additionally,":[59],"most":[60],"visible":[63],"on":[64,129],"X-rays":[66],"are":[67,138],"benign;":[68],"therefore,":[69],"narrow":[71],"task":[72],"computer":[74,101],"vision-based":[75],"nodule":[77],"detection":[78],"cannot":[79],"equated":[81],"automated":[83],"detection.":[86],"Addressing":[87],"both":[88],"concerns,":[89],"this":[90,119,212],"study":[91],"introduces":[92],"a":[93,124,178,202,218,234],"novel":[94],"hybrid":[95],"decision":[99,112,169,189],"tree-based":[100],"vision":[102],"model,":[103],"which":[104,155],"presents":[105],"malignancy":[108,156,173,229],"predictions":[109],"as":[110,217,233],"interpretable":[111],"trees.":[113],"The":[114,187],"component":[117],"process":[120],"trained":[122],"using":[123,211],"large":[125],"publicly":[126],"available":[127],"dataset":[128],"pathological":[130],"biomarkers":[131],"associated":[132],"with":[133,201],"cancer.":[135],"These":[136],"then":[139],"used":[140],"inference":[142],"biomarker":[143],"scores":[144],"for":[145,154,221,231],"images":[148],"two":[150],"independent":[151],"data":[152],"sets,":[153],"metadata":[157],"available.":[159],"Next,":[160],"multi-variate":[161,226],"predictive":[162,204],"were":[164],"mined":[165,210],"fitting":[167],"shallow":[168],"trees":[170,209],"stratified":[174],"datasets":[175],"interrogating":[177],"range":[179],"metrics":[181],"determine":[183],"best":[185,188],"model.":[186],"tree":[190],"model":[191],"achieved":[192],"sensitivity":[193],"specificity":[195],"86.7%":[197],"80.0%,":[199],"respectively,":[200],"positive":[203],"value":[205],"92.9%.":[207],"Decision":[208],"method":[213],"may":[214],"considered":[216],"starting":[219],"point":[220],"refinement":[222],"into":[223],"clinically":[224],"useful":[225],"implementation":[232],"workflow":[235],"augmentation":[236],"tool":[237],"improve":[239],"efficiency":[241],"human":[243],"radiologists.":[244]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
