{"id":"https://openalex.org/W2990730082","doi":"https://doi.org/10.1186/s42492-019-0026-5","title":"Developing global image feature analysis models to predict cancer risk and prognosis","display_name":"Developing global image feature analysis models to predict cancer risk and prognosis","publication_year":2019,"publication_date":"2019-11-19","ids":{"openalex":"https://openalex.org/W2990730082","doi":"https://doi.org/10.1186/s42492-019-0026-5","mag":"2990730082","pmid":"https://pubmed.ncbi.nlm.nih.gov/32190407"},"language":"en","primary_location":{"id":"doi:10.1186/s42492-019-0026-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0026-5","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0026-5","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0026-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045998635","display_name":"Bin Zheng","orcid":"https://orcid.org/0000-0002-7682-6648"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bin Zheng","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA"],"raw_orcid":"https://orcid.org/0000-0002-7682-6648","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108101897","display_name":"Yuchen Qiu","orcid":"https://orcid.org/0009-0009-2826-9654"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchen Qiu","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035793315","display_name":"Faranak Aghaei","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faranak Aghaei","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003646582","display_name":"Seyedehnafiseh Mirniaharikandehei","orcid":"https://orcid.org/0000-0002-1070-4517"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyedehnafiseh Mirniaharikandehei","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044959175","display_name":"Morteza Heidari","orcid":"https://orcid.org/0000-0003-0922-787X"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Morteza Heidari","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037175940","display_name":"Gopichandh Danala","orcid":"https://orcid.org/0000-0001-6857-9408"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gopichandh Danala","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK, 73019, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045998635"],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.2904,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68068444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"17","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684666633605957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.651202380657196},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5289580821990967},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5093508958816528},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49279192090034485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48958835005760193},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4672683775424957},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4665610194206238},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4609440267086029},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.44168877601623535},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.42115795612335205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36561548709869385},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.33984535932540894},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.22408944368362427},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17304706573486328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684666633605957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.651202380657196},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5289580821990967},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5093508958816528},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49279192090034485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48958835005760193},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4672683775424957},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4665610194206238},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4609440267086029},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.44168877601623535},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.42115795612335205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36561548709869385},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.33984535932540894},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.22408944368362427},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17304706573486328},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s42492-019-0026-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0026-5","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0026-5","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},{"id":"pmid:32190407","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32190407","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":"Visual computing for industry, biomedicine, and art","raw_type":null},{"id":"pmh:oai:doaj.org/article:267dcadf76a043bcbcb247eb8ddbf300","is_oa":false,"landing_page_url":"https://doaj.org/article/267dcadf76a043bcbcb247eb8ddbf300","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art, Vol 2, Iss 1, Pp 1-14 (2019)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7055572","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7055572","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":"Vis Comput Ind Biomed Art","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s42492-019-0026-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0026-5","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0026-5","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1082938816","display_name":null,"funder_award_id":"HR15-016","funder_id":"https://openalex.org/F4320310627","funder_display_name":"Oklahoma Center for the Advancement of Science and Technology"},{"id":"https://openalex.org/G7691698956","display_name":null,"funder_award_id":"R01 CA197150","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320310179","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83"},{"id":"https://openalex.org/F4320310627","display_name":"Oklahoma Center for the Advancement of Science and Technology","ror":"https://ror.org/02q578v20"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320333795","display_name":"Stephenson Cancer Center","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990730082.pdf","grobid_xml":"https://content.openalex.org/works/W2990730082.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W78668827","https://openalex.org/W1570448133","https://openalex.org/W1974636983","https://openalex.org/W1995244346","https://openalex.org/W2000530780","https://openalex.org/W2016771288","https://openalex.org/W2019607817","https://openalex.org/W2050722163","https://openalex.org/W2064473418","https://openalex.org/W2065564800","https://openalex.org/W2074020279","https://openalex.org/W2074072216","https://openalex.org/W2079019493","https://openalex.org/W2079035144","https://openalex.org/W2087179076","https://openalex.org/W2094722563","https://openalex.org/W2095618958","https://openalex.org/W2100159406","https://openalex.org/W2103004421","https://openalex.org/W2105722841","https://openalex.org/W2117927200","https://openalex.org/W2129017343","https://openalex.org/W2130184842","https://openalex.org/W2137682223","https://openalex.org/W2141619730","https://openalex.org/W2141891144","https://openalex.org/W2143858998","https://openalex.org/W2148143831","https://openalex.org/W2150539933","https://openalex.org/W2152522287","https://openalex.org/W2155493001","https://openalex.org/W2158732932","https://openalex.org/W2163905093","https://openalex.org/W2167465004","https://openalex.org/W2220907510","https://openalex.org/W2339824777","https://openalex.org/W2342295631","https://openalex.org/W2343217573","https://openalex.org/W2345377421","https://openalex.org/W2418815986","https://openalex.org/W2557798449","https://openalex.org/W2562857629","https://openalex.org/W2597261420","https://openalex.org/W2603403091","https://openalex.org/W2775577467","https://openalex.org/W2784119176","https://openalex.org/W2791942584","https://openalex.org/W2800539391","https://openalex.org/W2801188218","https://openalex.org/W2884034416","https://openalex.org/W2884184398","https://openalex.org/W2885317179","https://openalex.org/W2897178272","https://openalex.org/W2901369207","https://openalex.org/W2907136892","https://openalex.org/W2944320840","https://openalex.org/W2965758364","https://openalex.org/W2968270410","https://openalex.org/W3103895001"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404","https://openalex.org/W2130144716","https://openalex.org/W1504527458"],"abstract_inverted_index":{"In":[0,120],"order":[1],"to":[2,18,83,146,230,240,244],"develop":[3,231],"precision":[4],"or":[5,58,79,93,215,236],"personalized":[6],"medicine,":[7],"identifying":[8],"new":[9,130,184,232],"quantitative":[10],"imaging":[11],"markers":[12],"and":[13,22,54,86,101,150,154,168,174],"building":[14],"machine":[15,63,136],"learning":[16,64,137],"models":[17,65,138,157,185,235,243],"predict":[19,147],"cancer":[20,148,219],"risk":[21,149],"prognosis":[23],"has":[24],"been":[25],"attracting":[26],"broad":[27],"research":[28,34],"interest":[29],"recently.":[30],"Most":[31],"of":[32,40,46,70,89,116,128,171,182],"these":[33,183],"approaches":[35,191],"use":[36],"the":[37,41,68,76,84,90,117,126,135,198,208,212,222],"similar":[38],"concepts":[39],"conventional":[42,118],"computer-aided":[43,131],"detection":[44],"schemes":[45,132],"medical":[47],"images,":[48],"which":[49],"include":[50],"steps":[51],"in":[52,193,217],"detecting":[53],"segmenting":[55,95],"suspicious":[56,91],"regions":[57,78,92,97,214],"tumors,":[59,94],"followed":[60],"by":[61,142],"training":[62],"based":[66],"on":[67],"fusion":[69],"multiple":[71],"image":[72,144,201,224],"features":[73,145,202,209,225],"computed":[74,169,199,210],"from":[75,161,207,211],"segmented":[77,213],"tumors.":[80],"However,":[81],"due":[82],"heterogeneity":[85],"boundary":[87],"fuzziness":[88],"subtle":[96],"is":[98],"often":[99],"difficult":[100],"unreliable.":[102],"Additionally,":[103],"ignoring":[104],"global":[105,143,200,223],"and/or":[106],"background":[107],"parenchymal":[108],"tissue":[109],"characteristics":[110],"may":[111],"also":[112,203],"be":[113,227,238],"a":[114],"limitation":[115],"approaches.":[119],"our":[121],"recent":[122],"studies,":[123],"we":[124],"investigated":[125],"feasibility":[127],"developing":[129],"implemented":[133],"with":[134],"that":[139,180],"are":[140],"trained":[141,153],"prognosis.":[151,220],"We":[152],"tested":[155],"several":[156],"using":[158],"images":[159],"obtained":[160],"full-field":[162],"digital":[163],"mammography,":[164],"magnetic":[165],"resonance":[166],"imaging,":[167],"tomography":[170],"breast,":[172],"lung,":[173],"ovarian":[175],"cancers.":[176],"Study":[177],"results":[178],"showed":[179],"many":[181],"yielded":[186],"higher":[187],"performance":[188],"than":[189],"other":[190],"used":[192,228],"current":[194,241],"clinical":[195],"practice.":[196],"Furthermore,":[197],"contain":[204],"complementary":[205],"information":[206],"tumors":[216],"predicting":[218],"Therefore,":[221],"can":[226,237],"alone":[229],"case-based":[233],"prediction":[234],"added":[239],"tumor-based":[242],"increase":[245],"their":[246],"discriminatory":[247],"power.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
