{"id":"https://openalex.org/W3090576298","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206797","title":"Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers","display_name":"Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090576298","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206797","mag":"3090576298"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028155924","display_name":"Luca Brunese","orcid":"https://orcid.org/0000-0002-4666-0544"},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Brunese","raw_affiliation_strings":["Department of Medicine and Health Sciences \"Vincenzo Tiberio\", University of Molise, Campobasso, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Medicine and Health Sciences \"Vincenzo Tiberio\", University of Molise, Campobasso, Italy","institution_ids":["https://openalex.org/I129627893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023695406","display_name":"Francesco Mercaldo","orcid":"https://orcid.org/0000-0002-9425-1657"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Mercaldo","raw_affiliation_strings":["Department of Biosciences and Territory, University of Molise, Pesche, IS, Italy","Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Biosciences and Territory, University of Molise, Pesche, IS, Italy","institution_ids":["https://openalex.org/I129627893"]},{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033961805","display_name":"Alfonso Reginelli","orcid":"https://orcid.org/0000-0003-4809-6235"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfonso Reginelli","raw_affiliation_strings":["Department of Precision Medicine, University of Campania \"Luigi Vanvitelli\", Napoli, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Precision Medicine, University of Campania \"Luigi Vanvitelli\", Napoli, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004599844","display_name":"Antonella Santone","orcid":"https://orcid.org/0000-0002-2634-4456"},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Santone","raw_affiliation_strings":["Department of Biosciences and Territory, University of Molise, Pesche, IS, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Biosciences and Territory, University of Molise, Pesche, IS, Italy","institution_ids":["https://openalex.org/I129627893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028155924"],"corresponding_institution_ids":["https://openalex.org/I129627893"],"apc_list":null,"apc_paid":null,"fwci":0.1101,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50815227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9722999930381775,"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/T10862","display_name":"AI in cancer detection","score":0.9451000094413757,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.660293459892273},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.5476008653640747},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.48584386706352234},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4349023401737213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40800008177757263},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3883269131183624},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3310545086860657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29532039165496826},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2873983383178711},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.2663431465625763},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.16894450783729553}],"concepts":[{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.660293459892273},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.5476008653640747},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.48584386706352234},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4349023401737213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40800008177757263},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3883269131183624},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3310545086860657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29532039165496826},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2873983383178711},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2663431465625763},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16894450783729553}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W161745425","https://openalex.org/W1531857721","https://openalex.org/W1873332500","https://openalex.org/W1969733464","https://openalex.org/W1980943088","https://openalex.org/W1994005439","https://openalex.org/W2055522016","https://openalex.org/W2115709314","https://openalex.org/W2119821739","https://openalex.org/W2153671631","https://openalex.org/W2153704901","https://openalex.org/W2311857205","https://openalex.org/W2551780400","https://openalex.org/W2753920499","https://openalex.org/W2887808321","https://openalex.org/W2899057088","https://openalex.org/W2911964244","https://openalex.org/W2920943913","https://openalex.org/W2977631783","https://openalex.org/W2980669114","https://openalex.org/W2995272998","https://openalex.org/W2997180912","https://openalex.org/W2998454305","https://openalex.org/W3175417087","https://openalex.org/W4235571101","https://openalex.org/W4239510810","https://openalex.org/W6639175750","https://openalex.org/W6698491756","https://openalex.org/W6772198162"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W3030796519","https://openalex.org/W2400060196","https://openalex.org/W2419646825"],"abstract_inverted_index":{"Medical":[0],"image":[1],"bio-markers":[2,20,123],"of":[3,29,117],"cancer":[4,72,151],"are":[5],"expected":[6],"to":[7,17,44,56,67,80,131,135,147],"improve":[8],"patient":[9],"care":[10],"through":[11],"advances":[12],"in":[13,39,70,149],"precision":[14],"medicine.":[15],"Compared":[16],"genomic":[18,141],"bio-markers,":[19,100],"obtained":[21,138],"directly":[22],"from":[23],"medical":[24],"images":[25],"provide":[26],"the":[27,54,136],"advantages":[28],"being":[30],"a":[31,36,78,115],"non-invasive":[32,98,111],"procedure,":[33],"and":[34,74,88,97,110,153],"characterizing":[35],"heterogeneous":[37],"tumor":[38],"its":[40],"entirety,":[41],"as":[42],"opposed":[43],"limited":[45],"tissue":[46],"available":[47],"for":[48],"biopsy.":[49],"In":[50],"this":[51],"paper,":[52],"with":[53],"aim":[55],"demonstrate":[57],"that":[58,121],"noninvasive":[59],"features":[60],"can":[61],"obtain":[62,124],"better":[63,125],"performances":[64,126],"if":[65,133],"compared":[66,134],"invasive":[68,95,109],"ones":[69,137,142],"lung":[71,84,150],"detection":[73,152],"characterisation,":[75],"we":[76],"propose":[77],"method":[79],"discriminate":[81],"between":[82],"different":[83],"cancers":[85],"(i.e.,":[86],"Adenocarcinoma":[87],"Squamous":[89],"Cell":[90],"Carcinoma)":[91],"by":[92,101,139],"adopting":[93],"both":[94,108],"(genomic)":[96],"(radiomic)":[99],"building":[102],"supervised":[103],"machine":[104],"learning":[105],"models":[106],"exploiting":[107],"features.":[112],"Experiments":[113],"on":[114],"data-set":[116],"130":[118],"patients":[119],"show":[120],"radiomic":[122],"(with":[127],"an":[128,144],"f-measure":[129,145],"equal":[130,146],"0.993)":[132],"considering":[140],"(reaching":[143],"0.929)":[148],"characterisation.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
