{"id":"https://openalex.org/W2782598129","doi":"https://doi.org/10.1109/tmi.2017.2789181","title":"Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network","display_name":"Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network","publication_year":2018,"publication_date":"2018-01-09","ids":{"openalex":"https://openalex.org/W2782598129","doi":"https://doi.org/10.1109/tmi.2017.2789181","mag":"2782598129","pmid":"https://pubmed.ncbi.nlm.nih.gov/29727276"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2789181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2789181","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100449952","display_name":"Zhiwei Wang","orcid":"https://orcid.org/0000-0002-1612-8573"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Wang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1612-8573","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050205814","display_name":"Chaoyue Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyue Liu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067390019","display_name":"Danpeng Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danpeng Cheng","raw_affiliation_strings":["University of Bridgeport, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456601","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0003-4015-9385"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Department of Radiology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088751649","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-6252-1061"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6252-1061","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077687075","display_name":"Kwang\u2010Ting Cheng","orcid":"https://orcid.org/0000-0002-3885-4912"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwang-Ting Cheng","raw_affiliation_strings":["School of Engineering, Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3885-4912","affiliations":[{"raw_affiliation_string":"School of Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.4631,"has_fulltext":false,"cited_by_count":144,"citation_normalized_percentile":{"value":0.99249264,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"37","issue":"5","first_page":"1127","last_page":"1139"},"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":0.9976999759674072,"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":0.9976999759674072,"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":0.9908000230789185,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6540689468383789},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6422871947288513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536745190620422},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5213543176651001},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.48101598024368286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4721173048019409},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4293931722640991},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3785952925682068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3585425615310669},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34137558937072754},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2947602868080139},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10531675815582275}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6540689468383789},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6422871947288513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536745190620422},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5213543176651001},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.48101598024368286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4721173048019409},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4293931722640991},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3785952925682068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3585425615310669},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34137558937072754},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2947602868080139},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10531675815582275}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011467","descriptor_name":"Prostate","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011467","descriptor_name":"Prostate","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011467","descriptor_name":"Prostate","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2017.2789181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2789181","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:29727276","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29727276","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-90507","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-90507","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-90507","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000431544500005","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2592090465","display_name":null,"funder_award_id":"61502188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1487583988","https://openalex.org/W1544025659","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1917894041","https://openalex.org/W1938234037","https://openalex.org/W1960671710","https://openalex.org/W1973208804","https://openalex.org/W2012039837","https://openalex.org/W2017557045","https://openalex.org/W2020439157","https://openalex.org/W2021949540","https://openalex.org/W2027710019","https://openalex.org/W2027967978","https://openalex.org/W2034432063","https://openalex.org/W2047700377","https://openalex.org/W2049522781","https://openalex.org/W2050322117","https://openalex.org/W2052617496","https://openalex.org/W2052701872","https://openalex.org/W2075716883","https://openalex.org/W2076498536","https://openalex.org/W2083047415","https://openalex.org/W2083927153","https://openalex.org/W2086279260","https://openalex.org/W2093693898","https://openalex.org/W2097117768","https://openalex.org/W2107030642","https://openalex.org/W2110411550","https://openalex.org/W2112224175","https://openalex.org/W2128409098","https://openalex.org/W2133059825","https://openalex.org/W2134012543","https://openalex.org/W2137228371","https://openalex.org/W2145046071","https://openalex.org/W2146512659","https://openalex.org/W2150218084","https://openalex.org/W2170552969","https://openalex.org/W2183341477","https://openalex.org/W2197494872","https://openalex.org/W2301358467","https://openalex.org/W2591957284","https://openalex.org/W2593423469","https://openalex.org/W2604260814","https://openalex.org/W2610510511","https://openalex.org/W2613483135","https://openalex.org/W2748604568","https://openalex.org/W2963389298","https://openalex.org/W2963517393","https://openalex.org/W2963542991","https://openalex.org/W3098221112","https://openalex.org/W6618372016","https://openalex.org/W6632443627","https://openalex.org/W6639824700","https://openalex.org/W6680096826","https://openalex.org/W6734601959"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W3008587939","https://openalex.org/W299695548","https://openalex.org/W3196421258","https://openalex.org/W4403381637","https://openalex.org/W2384122898","https://openalex.org/W4387301579"],"abstract_inverted_index":{"Automated":[0],"methods":[1,21],"for":[2,97,112,131,214,236],"detecting":[3],"clinically":[4],"significant":[5],"(CS)":[6],"prostate":[7,99],"cancer":[8],"(PCa)":[9],"in":[10,75,174],"multi-parameter":[11],"magnetic":[12],"resonance":[13],"images":[14],"(mp-MRI)":[15],"are":[16,72,129],"of":[17,28,38,87,118,135,158,186,191,206,243],"high":[18,234],"demand.":[19],"Existing":[20],"typically":[22],"employ":[23],"several":[24],"separate":[25],"steps,":[26],"each":[27,150],"which":[29,199],"is":[30,172,210],"optimized":[31,73],"individually":[32],"without":[33,188],"considering":[34],"the":[35,136,142,145],"error":[36],"tolerance":[37],"other":[39,151],"steps.":[40,57],"As":[41],"a":[42,91,106,175,233,241],"result,":[43],"they":[44],"could":[45],"either":[46],"involve":[47],"unnecessary":[48],"computational":[49],"cost":[50],"or":[51],"suffer":[52],"from":[53],"errors":[54],"accumulated":[55],"over":[56],"In":[58,141],"this":[59],"paper,":[60],"we":[61],"present":[62],"an":[63,76],"automated":[64,98],"CS":[65,113,160,237],"PCa":[66,114,207,238],"detection":[67,100],"system,":[68],"where":[69],"all":[70,133],"steps":[71],"jointly":[74],"end-to-end":[77],"trainable":[78],"deep":[79],"neural":[80,84,109],"network.":[81],"The":[82,169],"proposed":[83,137],"network":[85,95,110,171],"consists":[86],"concatenated":[88],"subnets:":[89],"1)":[90],"novel":[92],"tissue":[93],"deformation":[94],"(TDN)":[96],"and":[101,104,126,139,152,156,245,249],"multimodal":[102],"registration":[103,155],"2)":[105],"dual-path":[107],"convolutional":[108],"(CNN)":[111],"detection.":[115],"Three":[116],"types":[117],"loss":[119],"functions,":[120],"i.e.,":[121,240],"classification":[122],"loss,":[123,125,128],"inconsistency":[124],"overlap":[127],"employed":[130],"optimizing":[132],"parameters":[134],"TDN":[138],"CNN.":[140],"training":[143],"phase,":[144],"two":[146],"nets":[147],"mutually":[148],"affect":[149],"effectively":[153],"guide":[154],"extraction":[157],"representative":[159],"PCa-relevant":[161],"features":[162],"to":[163],"achieve":[164],"results":[165],"with":[166,195],"sufficient":[167],"accuracy.":[168],"entire":[170],"trained":[173],"weakly":[176],"supervised":[177,201],"manner":[178],"by":[179],"providing":[180],"only":[181],"image-level":[182],"annotations":[183],"(i.e.,":[184],"presence/absence":[185],"PCa)":[187],"exact":[189],"priors":[190],"lesions'":[192],"locations.":[193],"Compared":[194],"most":[196],"existing":[197],"systems":[198],"require":[200],"labels,":[202],"e.g.,":[203],"manual":[204],"delineation":[205],"lesions,":[208],"it":[209],"much":[211],"more":[212],"convenient":[213],"clinical":[215],"usage.":[216],"Comprehensive":[217],"evaluation":[218],"based":[219],"on":[220],"fivefold":[221],"cross":[222],"validation":[223],"using":[224],"360":[225],"patient":[226],"data":[227],"demonstrates":[228],"that":[229],"our":[230],"system":[231],"achieves":[232],"accuracy":[235],"detection,":[239],"sensitivity":[242],"0.6374":[244],"0.8978":[246],"at":[247],"0.1":[248],"1":[250],"false":[251],"positives":[252],"per":[253],"normal/benign":[254],"patient.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
