{"id":"https://openalex.org/W4417489757","doi":"https://doi.org/10.1186/s12880-025-02115-z","title":"Exploring free radiomics software tools: a multiparametric evaluation for cancer classification","display_name":"Exploring free radiomics software tools: a multiparametric evaluation for cancer classification","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W4417489757","doi":"https://doi.org/10.1186/s12880-025-02115-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/41419810"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-025-02115-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-02115-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-02115-z.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-02115-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120854566","display_name":"Eduardo Almeda-Luna","orcid":"https://orcid.org/0000-0002-0669-8839"},"institutions":[{"id":"https://openalex.org/I4210093628","display_name":"Instituto Maim\u00f3nides de Investigaci\u00f3n Biom\u00e9dica de C\u00f3rdoba","ror":"https://ror.org/00j9b6f88","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210093628"]},{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Eduardo Almeda-Luna","raw_affiliation_strings":["Department of Computing and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cordoba, C\u00f3rdoba, 14071, Spain","Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cordoba, C\u00f3rdoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain","institution_ids":["https://openalex.org/I4210093628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050287828","display_name":"Jos\u00e9 Mar\u00eda Luna","orcid":"https://orcid.org/0000-0003-3537-2931"},"institutions":[{"id":"https://openalex.org/I4210093628","display_name":"Instituto Maim\u00f3nides de Investigaci\u00f3n Biom\u00e9dica de C\u00f3rdoba","ror":"https://ror.org/00j9b6f88","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210093628"]},{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Mar\u00eda Luna","raw_affiliation_strings":["Department of Computing and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cordoba, C\u00f3rdoba, 14071, Spain","Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cordoba, C\u00f3rdoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain","institution_ids":["https://openalex.org/I4210093628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033238429","display_name":"Sebasti\u00e1n Ventura","orcid":"https://orcid.org/0000-0003-4216-6378"},"institutions":[{"id":"https://openalex.org/I4210093628","display_name":"Instituto Maim\u00f3nides de Investigaci\u00f3n Biom\u00e9dica de C\u00f3rdoba","ror":"https://ror.org/00j9b6f88","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210093628"]},{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sebasti\u00e1n Ventura","raw_affiliation_strings":["Department of Computing and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cordoba, C\u00f3rdoba, 14071, Spain. sventura@uco.es","Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain. sventura@uco.es","Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cordoba, C\u00f3rdoba, 14071, Spain. sventura@uco.es","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain. sventura@uco.es","institution_ids":["https://openalex.org/I4210093628"]},{"raw_affiliation_string":"Maimonides Biomedical Research Institute of Cordoba, IMIBIC, University of Cordoba, C\u00f3rdob, 14071, Spain","institution_ids":["https://openalex.org/I4210093628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120854566"],"corresponding_institution_ids":["https://openalex.org/I4210093628","https://openalex.org/I53110688"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56777943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"1","first_page":"47","last_page":"47"},"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":0.9753000140190125,"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":0.9753000140190125,"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/T10862","display_name":"AI in cancer detection","score":0.006800000090152025,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/radiomics","display_name":"Radiomics","score":0.8827999830245972},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5835999846458435},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5662000179290771},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4056999981403351},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.39980000257492065},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.37689998745918274},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.3246000111103058},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3228999972343445}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8827999830245972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404999732971191},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5835999846458435},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4848000109195709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4805000126361847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40610000491142273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C48002344","wikidata":"https://www.wikidata.org/wiki/Q2919644","display_name":"Verification and validation","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C2984968299","wikidata":"https://www.wikidata.org/wiki/Q1077784","display_name":"Software tool","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-025-02115-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-02115-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-02115-z.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41419810","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41419810","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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:db5f232451314d3f80e3ec82dcb38327","is_oa":true,"landing_page_url":"https://doaj.org/article/db5f232451314d3f80e3ec82dcb38327","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 26, Iss 1, Pp 1-28 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12831341","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12831341/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-025-02115-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-02115-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-02115-z.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1643949827","display_name":null,"funder_award_id":"AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2969783435","display_name":null,"funder_award_id":"CIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3429648993","display_name":null,"funder_award_id":"PID202","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4126322094","display_name":null,"funder_award_id":"01100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G661330594","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6685425346","display_name":null,"funder_award_id":"0011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7535663061","display_name":null,"funder_award_id":"AEI/10.","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7736885172","display_name":null,"funder_award_id":"MICIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8260616629","display_name":null,"funder_award_id":"011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8638682022","display_name":null,"funder_award_id":"10.13039/50110001103","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4417489757.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1930624869","https://openalex.org/W1985258161","https://openalex.org/W2016944307","https://openalex.org/W2026616100","https://openalex.org/W2077763531","https://openalex.org/W2083927153","https://openalex.org/W2096863518","https://openalex.org/W2103004421","https://openalex.org/W2104133157","https://openalex.org/W2122814955","https://openalex.org/W2131987814","https://openalex.org/W2135046866","https://openalex.org/W2174661749","https://openalex.org/W2295598076","https://openalex.org/W2353267094","https://openalex.org/W2536847023","https://openalex.org/W2548695521","https://openalex.org/W2597886184","https://openalex.org/W2605762741","https://openalex.org/W2620349183","https://openalex.org/W2753067360","https://openalex.org/W2767128594","https://openalex.org/W2809848353","https://openalex.org/W2811086528","https://openalex.org/W2895629545","https://openalex.org/W2900422713","https://openalex.org/W2902172882","https://openalex.org/W2903950532","https://openalex.org/W2912096799","https://openalex.org/W2915540738","https://openalex.org/W3008442392","https://openalex.org/W3015320097","https://openalex.org/W3033186726","https://openalex.org/W3127942130","https://openalex.org/W3176699645","https://openalex.org/W3205722357","https://openalex.org/W3216823841","https://openalex.org/W4206740500","https://openalex.org/W4224217603","https://openalex.org/W4236137412","https://openalex.org/W4239510810","https://openalex.org/W4294215059","https://openalex.org/W4306734836","https://openalex.org/W4313454931","https://openalex.org/W4319754535","https://openalex.org/W4387393259","https://openalex.org/W4390047836","https://openalex.org/W4391188276","https://openalex.org/W4391390070","https://openalex.org/W4396217684","https://openalex.org/W4398185364","https://openalex.org/W4404371165","https://openalex.org/W4404953862","https://openalex.org/W4406431707","https://openalex.org/W4410165461","https://openalex.org/W4411858402","https://openalex.org/W6978086260"],"related_works":[],"abstract_inverted_index":{"Cancer":[0],"remains":[1],"the":[2,67,84,98,125,136,147,150,208,213,232,246,277,297,302,312,325,334,357],"leading":[3],"cause":[4],"of":[5,54,78,100,138,173,293,305,315,359],"mortality":[6],"worldwide,":[7],"accounting":[8],"for":[9,351],"over":[10],"10":[11,252],"million":[12],"deaths":[13],"annually.":[14],"Despite":[15],"recent":[16],"advances":[17],"in":[18,66,149,245,269,288,344],"early":[19],"detection":[20],"and":[21,31,49,81,141,153,176,204,254,261,272,311,333,342,349,384],"screening,":[22],"traditional":[23],"diagnostic":[24],"procedures,":[25],"such":[26],"as":[27,73,364],"biopsies,":[28],"remain":[29],"invasive":[30],"time":[32],"consuming.":[33],"Radiomics":[34],"is":[35,160,192],"a":[36,76,89,93,170,274],"trending":[37],"method":[38],"that":[39,91,155,200,372,375],"transforms":[40],"visual":[41],"information":[42,120],"from":[43,212,236,318,378],"medical":[44,55],"images":[45,56],"into":[46],"numerical":[47],"features":[48,72,152,210,234,317,328,377],"offers":[50],"non-invasive,":[51],"quantitative":[52],"analysis":[53,95,172],"to":[57,97,134,183,222,330],"support":[58],"clinical":[59],"decision-making.":[60],"Numerous":[61],"radiomics":[62,111,143,158,179,229,278,347,361],"software":[63,112,144,180],"tools":[64,113,159,181,287,348,380],"exist":[65],"literature,":[68],"each":[69,237],"offering":[70],"different":[71,157],"they":[74],"include":[75],"variety":[77],"transformations,":[79],"calculations,":[80],"configurations.":[82],"Selecting":[83],"most":[85,243,326],"suitable":[86],"tool":[87,238,279,306,362],"poses":[88],"challenge":[90],"requires":[92],"comparative":[94,171],"due":[96],"lack":[99],"standardisation.":[101],"However,":[102],"no":[103],"prior":[104],"study":[105,168,322,339],"has":[106],"systematically":[107],"compared":[108],"multiple":[109,115,139,188,319,379],"free":[110,140,175],"across":[114,368],"cancer":[116,184,352],"types":[117],"while":[118],"evaluating":[119],"fusion":[121,217,283],"strategies,":[122],"which":[123],"represents":[124],"specific":[126],"research":[127],"gap":[128],"addressed":[129],"here.":[130],"This":[131,167,338],"paper":[132],"aims":[133],"evaluate":[135],"performance":[137,226,310,332,365],"open-access":[142,177],"tools,":[145],"analyse":[146],"variability":[148],"extracted":[151,211,235],"demonstrate":[154,223],"combining":[156,316],"more":[161,382],"appropriate":[162],"than":[163,387],"choosing":[164],"one":[165],"individual.":[166],"conducts":[169],"several":[174],"GUI":[178],"applied":[182],"classification":[185,205,247,263,289,336],"tasks":[186],"using":[187,207],"datasets.":[189],"The":[190,321,354],"evaluation":[191],"carried":[193],"out":[194],"considering":[195],"optimal":[196],"machine":[197],"learning":[198],"pipelines":[199,260,350],"integrate":[201,376],"feature":[202,282],"selection":[203,307],"components":[206],"radiomic":[209,214,233],"tools.":[215,230],"Information":[216],"methods":[218],"are":[219],"also":[220,323],"proposed":[221],"their":[224],"high":[225],"against":[227],"single":[228,389],"Additionally,":[231],"were":[239],"analysed,":[240],"identifying":[241],"those":[242],"relevant":[244,327],"process.":[248],"Experiments":[249],"conducted":[250],"on":[251,276,295,308],"datasets":[253],"80":[255],"pipeline":[256],"combinations":[257],"(10":[258],"preprocessing":[259],"8":[262],"models)":[264],"revealed":[265],"statistically":[266],"significant":[267],"differences":[268],"F1-score,":[270],"AUROC":[271],"AUPRC":[273],"depending":[275],"employed.":[280],"Importantly,":[281],"consistently":[284],"outperformed":[285],"individual":[286],"tasks,":[290],"reaching":[291],"improvement":[292],"3%":[294],"all":[296],"metrics.":[298],"These":[299],"results":[300],"highlight":[301],"substantial":[303],"impact":[304],"model":[309,331],"enhanced":[313],"effectiveness":[314],"sources.":[320],"identified":[324],"contributing":[329],"best":[335],"pipeline.":[337],"guides":[340],"radiologists":[341],"researchers":[343],"selecting":[345],"effective":[346],"classification.":[353],"findings":[355],"underscore":[356],"importance":[358],"careful":[360],"selection,":[363],"varies":[366],"considerably":[367],"software.":[369],"It":[370],"demonstrates":[371],"fusion-based":[373],"approaches":[374],"provide":[381],"robust":[383],"accurate":[385],"predictions":[386],"any":[388],"tool.":[390]},"counts_by_year":[],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-12-19T00:00:00"}