{"id":"https://openalex.org/W7139910931","doi":"https://doi.org/10.48550/arxiv.2603.18460","title":"Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images","display_name":"Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139910931","doi":"https://doi.org/10.48550/arxiv.2603.18460"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18460","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.18460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130221200","display_name":"Vahid Monfared","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Monfared, Vahid","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084178832","display_name":"Mohammad Hadi Gharib","orcid":"https://orcid.org/0000-0003-4847-921X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gharib, Mohammad Hadi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059445157","display_name":"Ali Sabri","orcid":"https://orcid.org/0000-0002-4335-1770"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabri, Ali","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130237869","display_name":"Maryam Shahali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shahali, Maryam","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130251766","display_name":"Farid Rashidi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rashidi, Farid","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130243666","display_name":"Amit Mehta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehta, Amit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071424921","display_name":"Reza Rawassizadeh","orcid":"https://orcid.org/0000-0002-2607-1777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rawassizadeh, Reza","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5130221200"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.8210999965667725,"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"}},"topics":[{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.8210999965667725,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.07249999791383743,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10862","display_name":"AI in cancer detection","score":0.019099999219179153,"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/prostate-cancer","display_name":"Prostate cancer","score":0.6467999815940857},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.4717000126838684},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.45170000195503235},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.4260999858379364},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4180000126361847},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.40549999475479126},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.30559998750686646}],"concepts":[{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6467999815940857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396999716758728},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5067999958992004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49140000343322754},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3935000002384186},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.2732999920845032},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.26420000195503235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18460","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:10.48550/arxiv.2603.18460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18460","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.7527799606323242,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Prostate":[0],"cancer":[1,31],"is":[2],"a":[3,34,55,141,150],"leading":[4],"cause":[5],"of":[6,12,37,58,108,144,153],"mortality":[7],"in":[8,111],"men,":[9],"yet":[10],"interpretation":[11],"T2-weighted":[13,39,132],"prostate":[14],"MRI":[15,120],"remains":[16],"challenging":[17],"due":[18],"to":[19,160,171],"subtle":[20],"and":[21,51,65,122,137,175,179],"heterogeneous":[22],"lesions.":[23],"We":[24,53],"developed":[25],"an":[26],"interpretable":[27],"framework":[28],"for":[29,162,168],"automatic":[30],"detection":[32],"using":[33,130],"small":[35,112],"dataset":[36],"162":[38],"images":[40],"(102":[41],"cancer,":[42],"60":[43],"normal),":[44],"addressing":[45],"data":[46,180],"scarcity":[47],"through":[48],"transfer":[49],"learning":[50],"augmentation.":[52],"performed":[54],"comprehensive":[56],"comparison":[57],"Vision":[59,89],"Transformers":[60,90],"(ViT,":[61],"Swin),":[62],"CNNs":[63],"(ResNet18),":[64],"classical":[66],"methods":[67],"(Logistic":[68],"Regression,":[69],"SVM,":[70],"HOG+SVM).":[71],"Transfer-learned":[72],"ResNet18":[73],"achieved":[74,100,149],"the":[75,106,163],"best":[76],"performance":[77,93,129],"(90.9%":[78],"accuracy,":[79],"95.2%":[80,161],"sensitivity,":[81],"AUC":[82],"0.905)":[83],"with":[84],"only":[85,131],"11M":[86],"parameters,":[87],"while":[88],"showed":[91],"lower":[92],"despite":[94],"substantially":[95],"higher":[96],"complexity.":[97],"Notably,":[98],"HOG+SVM":[99],"comparable":[101],"accuracy":[102],"(AUC":[103],"0.917),":[104],"highlighting":[105],"effectiveness":[107],"handcrafted":[109],"features":[110],"datasets.":[113],"Unlike":[114],"state-of-the-art":[115],"approaches":[116],"relying":[117],"on":[118],"biparametric":[119],"(T2+DWI)":[121],"large":[123],"cohorts,":[124],"our":[125],"method":[126],"achieves":[127],"competitive":[128],"images,":[133],"reducing":[134],"acquisition":[135],"complexity":[136],"computational":[138],"cost.":[139],"In":[140],"reader":[142],"study":[143],"22":[145],"cases,":[146],"five":[147],"radiologists":[148],"mean":[151],"sensitivity":[152],"67.5%":[154],"(Fleiss":[155],"Kappa":[156],"=":[157],"0.524),":[158],"compared":[159],"AI":[164],"model,":[165],"suggesting":[166],"potential":[167],"AI-assisted":[169],"screening":[170],"reduce":[172],"missed":[173],"cancers":[174],"improve":[176],"consistency.":[177],"Code":[178],"are":[181],"publicly":[182],"available.":[183]},"counts_by_year":[],"updated_date":"2026-03-21T06:36:02.116451","created_date":"2026-03-21T00:00:00"}
