{"id":"https://openalex.org/W4389206733","doi":"https://doi.org/10.1186/s12880-023-01163-7","title":"A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI","display_name":"A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389206733","doi":"https://doi.org/10.1186/s12880-023-01163-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/38036991"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-023-01163-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01163-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01163-7","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","license_id":"https://openalex.org/licenses/cc-by","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://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01163-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100611838","display_name":"Junhao Chen","orcid":"https://orcid.org/0009-0006-4850-6790"},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]},{"id":"https://openalex.org/I4210162753","display_name":"First Affiliated Hospital of Jinan University","ror":"https://ror.org/05d5vvz89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162753"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Chen","raw_affiliation_strings":["Department of Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 West Huangpu Street, Tianhe District, Guangzhou, Guangdong Province, 510630, PR China","Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 West Huangpu Street, Tianhe District, Guangzhou, Guangdong Province, 510630, PR China","institution_ids":["https://openalex.org/I4210162753"]},{"raw_affiliation_string":"Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China","institution_ids":["https://openalex.org/I4210146741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553090","display_name":"Bao Feng","orcid":"https://orcid.org/0000-0001-6389-8055"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Feng","raw_affiliation_strings":["Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China","Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, Guangxi Province, 541004, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China","institution_ids":["https://openalex.org/I4210146741"]},{"raw_affiliation_string":"Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, Guangxi Province, 541004, PR China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026096050","display_name":"Maoqing Hu","orcid":"https://orcid.org/0000-0002-2804-2734"},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoqing Hu","raw_affiliation_strings":["Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China","institution_ids":["https://openalex.org/I4210146741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100815561","display_name":"F.H. Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feidong Huang","raw_affiliation_strings":["School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi Province, 541004, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi Province, 541004, PR China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011944322","display_name":"Yehang Chen","orcid":"https://orcid.org/0009-0002-3724-3957"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yehang Chen","raw_affiliation_strings":["Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, Guangxi Province, 541004, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, Guangxi Province, 541004, PR China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047386777","display_name":"Xilun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]},{"id":"https://openalex.org/I4210115239","display_name":"First Affiliated Hospital of Shantou University Medical College","ror":"https://ror.org/02bnz8785","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115239"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilun Ma","raw_affiliation_strings":["Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, 515000, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, 515000, PR China","institution_ids":["https://openalex.org/I32574673","https://openalex.org/I4210115239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083237433","display_name":"Wansheng Long","orcid":"https://orcid.org/0000-0002-1331-1858"},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]},{"id":"https://openalex.org/I4210162753","display_name":"First Affiliated Hospital of Jinan University","ror":"https://ror.org/05d5vvz89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162753"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wansheng Long","raw_affiliation_strings":["Department of Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 West Huangpu Street, Tianhe District, Guangzhou, Guangdong Province, 510630, PR China. jmlws2@163.com","Department of Radiology, Jiangmen Central Hospital, 23#, North Road, Pengjiang Zone, Jiangmen, Guangdong Province, 529000, PR China. jmlws2@163.com","Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China. jmlws2@163.com","Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 West Huangpu Street, Tianhe District, Guangzhou, Guangdong Province, 510630, PR China. jmlws2@163.com","institution_ids":["https://openalex.org/I4210162753"]},{"raw_affiliation_string":"Department of Radiology, Jiangmen Central Hospital, 23#, North Road, Pengjiang Zone, Jiangmen, Guangdong Province, 529000, PR China. jmlws2@163.com","institution_ids":["https://openalex.org/I4210146741"]},{"raw_affiliation_string":"Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China. jmlws2@163.com","institution_ids":["https://openalex.org/I4210146741"]},{"raw_affiliation_string":"Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529000, PR China","institution_ids":["https://openalex.org/I4210146741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083237433"],"corresponding_institution_ids":["https://openalex.org/I4210146741","https://openalex.org/I4210162753"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.2355,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65815582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"1","first_page":"200","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9714999794960022,"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":0.9714999794960022,"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":0.013100000098347664,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.00139999995008111,"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":[{"id":"https://openalex.org/keywords/nomogram","display_name":"Nomogram","score":0.8673546314239502},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7146686911582947},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6652145385742188},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.651354193687439},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.5967484712600708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5269877314567566},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4639195203781128},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4102192521095276},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.40969377756118774},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2962620258331299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2907383441925049},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.28769296407699585},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13423752784729004}],"concepts":[{"id":"https://openalex.org/C34626388","wikidata":"https://www.wikidata.org/wiki/Q721129","display_name":"Nomogram","level":2,"score":0.8673546314239502},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7146686911582947},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6652145385742188},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.651354193687439},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.5967484712600708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5269877314567566},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4639195203781128},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4102192521095276},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.40969377756118774},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2962620258331299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2907383441925049},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.28769296407699585},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13423752784729004}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"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":"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049451","descriptor_name":"Nomograms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049451","descriptor_name":"Nomograms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049451","descriptor_name":"Nomograms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049451","descriptor_name":"Nomograms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-023-01163-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01163-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01163-7","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38036991","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38036991","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:pubmedcentral.nih.gov:10691068","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10691068","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10691068/pdf/12880_2023_Article_1163.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c8133741ad9c4609a51c40c4d04ab7f8","is_oa":true,"landing_page_url":"https://doaj.org/article/c8133741ad9c4609a51c40c4d04ab7f8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 23, Iss 1, Pp 1-12 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-023-01163-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01163-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01163-7","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2723669333","display_name":null,"funder_award_id":"62176104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6213116216","display_name":null,"funder_award_id":"2021GXNSFAA075037","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G6974080124","display_name":"\u57fa\u4e8eCT\u5f71\u50cf\u7684\u4e9a\u5b9e\u6027\u80ba\u7ed3\u8282\u826f\u6076\u6027\u9884\u6d4b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"81960324","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"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389206733.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2006584728","https://openalex.org/W2165698076","https://openalex.org/W2301685087","https://openalex.org/W2486380238","https://openalex.org/W2621707408","https://openalex.org/W2766366004","https://openalex.org/W2775769660","https://openalex.org/W2789982652","https://openalex.org/W2791547005","https://openalex.org/W2810349670","https://openalex.org/W2887280559","https://openalex.org/W2887766402","https://openalex.org/W2901297294","https://openalex.org/W2901859788","https://openalex.org/W2922071185","https://openalex.org/W3015887428","https://openalex.org/W3016483492","https://openalex.org/W3018853963","https://openalex.org/W3027017122","https://openalex.org/W3027874948","https://openalex.org/W3037389001","https://openalex.org/W3127653797","https://openalex.org/W3128646645","https://openalex.org/W3144765272","https://openalex.org/W3183065453","https://openalex.org/W3186637506","https://openalex.org/W3188868912","https://openalex.org/W3190109435","https://openalex.org/W4205357813","https://openalex.org/W4318823026"],"related_works":["https://openalex.org/W2911441101","https://openalex.org/W1970018641","https://openalex.org/W4226494765","https://openalex.org/W1993821226","https://openalex.org/W2063908487","https://openalex.org/W3014240535","https://openalex.org/W4233588653","https://openalex.org/W2004029742","https://openalex.org/W1999313618","https://openalex.org/W2089138782"],"abstract_inverted_index":{"BACKGROUND:":[0],"Deep":[1],"learning":[2,26,85],"has":[3,248],"been":[4],"used":[5,253],"to":[6,21,251],"detect":[7],"or":[8],"characterize":[9],"prostate":[10],"cancer":[11],"(PCa)":[12],"on":[13,38,100],"medical":[14],"images.":[15],"The":[16,130,176,214,230,245],"present":[17],"study":[18],"was":[19,89,104,124],"designed":[20],"develop":[22],"an":[23],"integrated":[24,109,157],"transfer":[25,84],"nomogram":[27],"(TLN)":[28],"for":[29,173,207,258],"the":[30,92,110,112,121,133,143,147,153,156,181,198,208,217,220,224,235,242,249],"prediction":[31],"of":[32,50,96,132,183,210],"PCa":[33,56,97,211,259],"and":[34,57,64,76,98,115,120,138,161,169,192,202,212,219,226,260],"benign":[35],"conditions":[36],"(BCs)":[37],"magnetic":[39],"resonance":[40],"imaging":[41],"(MRI).":[42],"METHODS:":[43],"In":[44],"this":[45],"retrospective":[46],"study,":[47],"a":[48,255],"total":[49],"709":[51],"patients":[52],"with":[53,91],"pathologically":[54],"confirmed":[55],"BCs":[58,261],"from":[59],"two":[60],"institutions":[61],"were":[62,140,171],"included":[63],"divided":[65],"into":[66],"training":[67],"(n":[68,73,79],"=":[69,74,80],"309),":[70],"internal":[71,200,225],"validation":[72,78,144,204,228],"200),":[75],"external":[77,203,227],"200)":[81],"cohorts.":[82,229],"A":[83,106],"signature":[86],"(TLS)":[87],"that":[88,108,234],"pretrained":[90],"whole":[93],"slide":[94],"images":[95,103],"fine-tuned":[99],"prebiopsy":[101],"MRI":[102],"constructed.":[105],"TLN":[107,139,174,177,215,236,247],"TLS,":[111,134,166],"Prostate":[113],"Imaging-Reporting":[114],"Data":[116],"System":[117],"(PI-RADS)":[118],"score,":[119,168],"clinical":[122,135],"factor":[123],"developed":[125],"by":[126],"multivariate":[127],"logistic":[128],"regression.":[129],"performance":[131],"model":[136],"(CM),":[137],"evaluated":[141],"in":[142,197,222],"cohorts":[145],"using":[146],"receiver":[148],"operating":[149],"characteristic":[150],"(ROC)":[151],"curve,":[152],"Delong":[154],"test,":[155],"discrimination":[158,209],"improvement":[159],"(IDI),":[160],"decision":[162,231],"curve":[163,182,232],"analysis.":[164],"RESULTS:":[165],"PI-RADS":[167],"age":[170],"selected":[172],"construction.":[175],"yielded":[178],"areas":[179],"under":[180],"0.9757":[184],"(95%":[185,189,194],"CI,":[186,190,195],"0.9613-0.9902),":[187],"0.9255":[188],"0.8873-0.9638),":[191],"0.8766":[193],"0.8267-0.9264)":[196],"training,":[199],"validation,":[201],"cohorts,":[205],"respectively,":[206],"BCs.":[213],"outperformed":[216],"TLS":[218],"CM":[221],"both":[223],"showed":[233],"added":[237],"more":[238],"net":[239],"benefit":[240],"than":[241],"CM.":[243],"CONCLUSIONS:":[244],"proposed":[246],"potential":[250],"be":[252],"as":[254],"noninvasive":[256],"tool":[257],"differentiation.":[262]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-17T06:14:20.161405","created_date":"2025-10-10T00:00:00"}
