{"id":"https://openalex.org/W7225742028","doi":"https://doi.org/10.17537/2026.21.462","title":"Automatization of the Prostate Cancer Diagnosis Process Based On Biopsy Results Using the EfficientNet","display_name":"Automatization of the Prostate Cancer Diagnosis Process Based On Biopsy Results Using the EfficientNet","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225742028","doi":"https://doi.org/10.17537/2026.21.462"},"language":"en","primary_location":{"id":"doi:10.17537/2026.21.462","doi":"https://doi.org/10.17537/2026.21.462","is_oa":true,"landing_page_url":"https://doi.org/10.17537/2026.21.462","pdf_url":null,"source":{"id":"https://openalex.org/S2764758691","display_name":"Mathematical Biology and Bioinformatics","issn_l":"1994-6538","issn":["1994-6538"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Biology and Bioinformatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.17537/2026.21.462","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161382392","display_name":"I.A. Borisova","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I.A. Borisova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161397445","display_name":"A.A. Bochkarev","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.A. Bochkarev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161371926","display_name":"M.A. Bakaev","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.A. Bakaev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5161404555","display_name":"E.L. Lushnikova","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E.L. Lushnikova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"2","first_page":"462","last_page":"471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":9.999999747378752e-05,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.7024999856948853},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6351000070571899},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.633899986743927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5856999754905701},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5611000061035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5436999797821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097000002861023},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5026999711990356},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.4138999879360199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3700999915599823},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C2781217009","wikidata":"https://www.wikidata.org/wiki/Q4086927","display_name":"Prostate biopsy","level":4,"score":0.3422999978065491},{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.33730000257492065},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.33480000495910645},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.27559998631477356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17537/2026.21.462","doi":"https://doi.org/10.17537/2026.21.462","is_oa":true,"landing_page_url":"https://doi.org/10.17537/2026.21.462","pdf_url":null,"source":{"id":"https://openalex.org/S2764758691","display_name":"Mathematical Biology and Bioinformatics","issn_l":"1994-6538","issn":["1994-6538"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Biology and Bioinformatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17537/2026.21.462","doi":"https://doi.org/10.17537/2026.21.462","is_oa":true,"landing_page_url":"https://doi.org/10.17537/2026.21.462","pdf_url":null,"source":{"id":"https://openalex.org/S2764758691","display_name":"Mathematical Biology and Bioinformatics","issn_l":"1994-6538","issn":["1994-6538"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Biology and Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2946948417","https://openalex.org/W2999399991","https://openalex.org/W3040734937","https://openalex.org/W3126165211","https://openalex.org/W4205900565","https://openalex.org/W4214715101","https://openalex.org/W4225162154","https://openalex.org/W4225571462","https://openalex.org/W4309524780","https://openalex.org/W4378528023","https://openalex.org/W4394567652","https://openalex.org/W4405288319","https://openalex.org/W4405944164","https://openalex.org/W4407218662","https://openalex.org/W4414514528"],"related_works":[],"abstract_inverted_index":{"The":[0,18,32,87],"paper":[1],"explores":[2],"the":[3,8,26,35,49,59,72,84],"possibility":[4,36,60],"of":[5,7,34,37,51,61,67,74],"automatization":[6],"prostate":[9],"cancer":[10],"diagnostics":[11],"process":[12,50],"based":[13],"on":[14,42,97],"histological":[15],"image":[16],"analysis.":[17],"EfficientNet-b0":[19],"neural":[20,40],"network":[21,41],"model":[22,95],"is":[23,54,89],"used":[24,47],"as":[25,56,58],"main":[27],"tool":[28],"for":[29],"such":[30],"system.":[31],"issue":[33],"retraining":[38],"a":[39,75,93],"data":[43,99],"from":[44,100],"sources":[45],"not":[46],"in":[48,69,71],"its":[52],"training":[53,77],"considered,":[55],"well":[57],"coarse":[62],"segmentation":[63,85],"and":[64,106],"highlighting":[65],"areas":[66],"interest":[68],"images":[70,108],"absence":[73],"sufficient":[76],"base":[78],"with":[79],"appropriate":[80],"markup":[81],"to":[82,91,104],"solve":[83],"problem.":[86],"potential":[88],"shown":[90],"use":[92],"basic":[94],"trained":[96],"PANDA":[98],"European":[101],"research":[102],"centers":[103],"classify":[105],"segment":[107],"collected":[109],"by":[110],"IMPP":[111],"FITZ":[112],"FTM":[113],"(Novosibirsk).":[114]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-11T00:00:00"}