{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T16:01:33Z","timestamp":1792425693733,"version":"4.5.0"},"reference-count":51,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":366,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"content-domain":{"domain":["mp.uscap.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Modern Pathology"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1016\/j.modpat.2023.100247","type":"journal-article","created":{"date-parts":[[2023,6,10]],"date-time":"2023-06-10T19:19:08Z","timestamp":1686424748000},"page":"100247","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":35,"title":["Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images"],"prefix":"10.1016","volume":"36","author":[{"given":"Eric","family":"Erak","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lia DePaula","family":"Oliveira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrianna A.","family":"Mendes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oluwademilade","family":"Dairo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Onur","family":"Ertunc","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibrahim","family":"Kulac","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Javier A.","family":"Baena-Del Valle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tracy","family":"Jones","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica L.","family":"Hicks","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephanie","family":"Glavaris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gunes","family":"Guner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Igor Damasceno","family":"Vidal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Markowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claire","family":"de la Calle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce J.","family":"Trock","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avaneesh","family":"Meena","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uttara","family":"Joshi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaith","family":"Kondragunta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saikiran","family":"Bonthu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nitin","family":"Singhal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Angelo M.","family":"De Marzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0494-9067","authenticated-orcid":false,"given":"Tamara L.","family":"Lotan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.modpat.2023.100247_bib1","doi-asserted-by":"crossref","first-page":"1390","DOI":"10.5858\/2005-129-1390-POTRBG","article-title":"Performance of the revised Bethesda guidelines for identification of colorectal carcinomas with a high level of microsatellite instability","volume":"129","author":"Gologan","year":"2005","journal-title":"Arch Pathol Lab Med"},{"issue":"2","key":"10.1016\/j.modpat.2023.100247_bib2","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1309\/0PP5GDRTXUDVKAWJ","article-title":"Clinicopathologic factors identify sporadic mismatch repair-defective colon cancers","volume":"129","author":"Halvarsson","year":"2008","journal-title":"Am J Clin Pathol"},{"issue":"6","key":"10.1016\/j.modpat.2023.100247_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.modpat.2023.100146","article-title":"Highly recurrent IDH1 mutations in prostate cancer with psammomatous calcification","volume":"36","author":"Mehra","year":"2023","journal-title":"Mod Pathol"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib4","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1002\/path.2154","article-title":"Morphological features of TMPRSS2-ERG gene fusion prostate cancer","volume":"212","author":"Mosquera","year":"2007","journal-title":"J\u00a0Pathol"},{"issue":"3","key":"10.1016\/j.modpat.2023.100247_bib5","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1016\/j.eururo.2014.08.007","article-title":"Patient-derived xenografts reveal that intraductal carcinoma of the prostate is a prominent pathology in BRCA2 mutation carriers with prostate cancer and correlates with poor prognosis","volume":"67","author":"Risbridger","year":"2015","journal-title":"Eur Urol"},{"key":"10.1016\/j.modpat.2023.100247_bib6","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.ejca.2021.01.027","article-title":"Association between BRCA2 alterations and intraductal and cribriform histologies in prostate cancer","volume":"147","author":"Lozano","year":"2021","journal-title":"Eur J Cancer"},{"issue":"7","key":"10.1016\/j.modpat.2023.100247_bib7","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1038\/s41591-019-0462-y","article-title":"Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer","volume":"25","author":"Kather","year":"2019","journal-title":"Nat Med"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib8","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/S1470-2045(20)30535-0","article-title":"Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study","volume":"22","author":"Yamashita","year":"2021","journal-title":"Lancet Oncol"},{"issue":"10","key":"10.1016\/j.modpat.2023.100247_bib9","doi-asserted-by":"crossref","first-page":"1559","DOI":"10.1038\/s41591-018-0177-5","article-title":"Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning","volume":"24","author":"Coudray","year":"2018","journal-title":"Nat Med"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib10","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/s41379-021-00911-w","article-title":"Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer","volume":"35","author":"Farahmand","year":"2022","journal-title":"Mod Pathol"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib11","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/s10897-017-0158-8","article-title":"Projecting the supply and demand for certified genetic counselors: a workforce study","volume":"27","author":"Hoskovec","year":"2018","journal-title":"J\u00a0Genet Couns"},{"issue":"6","key":"10.1016\/j.modpat.2023.100247_bib12","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1002\/pros.24480","article-title":"Utilization of genetic testing in men with advanced prostate cancer","volume":"83","author":"Aguiar","year":"2023","journal-title":"Prostate"},{"issue":"3","key":"10.1016\/j.modpat.2023.100247_bib13","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1158\/1078-0432.CCR-18-0981","article-title":"Randomized phase II study evaluating Akt blockade with Ipatasertib, in combination with abiraterone, in patients with metastatic prostate cancer with and without PTEN loss","volume":"25","author":"de Bono","year":"2019","journal-title":"Clin Cancer Res"},{"issue":"10295","key":"10.1016\/j.modpat.2023.100247_bib14","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0140-6736(21)00580-8","article-title":"Ipatasertib plus abiraterone and prednisolone in metastatic castration-resistant prostate cancer (IPATential150): a multicentre, randomised, double-blind, phase 3 trial","volume":"398","author":"Sweeney","year":"2021","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib15","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.eururo.2015.05.042","article-title":"Tissue-based genomics augments post-prostatectomy risk stratification in a Natural History Cohort of intermediate- and high-risk men","volume":"69","author":"Ross","year":"2016","journal-title":"Eur Urol"},{"issue":"7","key":"10.1016\/j.modpat.2023.100247_bib16","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1097\/PAS.0b013e31821e8761","article-title":"Immunohistochemistry for ERG expression as a surrogate for TMPRSS2-ERG fusion detection in prostatic adenocarcinomas","volume":"35","author":"Chaux","year":"2011","journal-title":"Am J Surg Pathol"},{"issue":"3","key":"10.1016\/j.modpat.2023.100247_bib17","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.jmoldx.2017.01.007","article-title":"Comprehensive determination of prostate tumor ETS gene status in clinical samples using the CLIA decipher assay","volume":"19","author":"Torres","year":"2017","journal-title":"J\u00a0Mol Diagn"},{"issue":"20","key":"10.1016\/j.modpat.2023.100247_bib18","doi-asserted-by":"crossref","first-page":"6563","DOI":"10.1158\/1078-0432.CCR-11-1244","article-title":"PTEN protein loss by immunostaining: analytic validation and prognostic indicator for a high risk surgical cohort of prostate cancer patients","volume":"17","author":"Lotan","year":"2011","journal-title":"Clin Cancer Res"},{"issue":"8","key":"10.1016\/j.modpat.2023.100247_bib19","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1038\/modpathol.2016.88","article-title":"Analytic validation of a clinical-grade PTEN immunohistochemistry assay in prostate cancer by comparison with PTEN FISH","volume":"29","author":"Lotan","year":"2016","journal-title":"Mod Pathol"},{"issue":"39","key":"10.1016\/j.modpat.2023.100247_bib20","doi-asserted-by":"crossref","first-page":"65566","DOI":"10.18632\/oncotarget.19217","article-title":"PTEN loss detection in prostate cancer: comparison of PTEN immunohistochemistry and PTEN FISH in a large retrospective prostatectomy cohort","volume":"8","author":"Lotan","year":"2017","journal-title":"Oncotarget"},{"issue":"6","key":"10.1016\/j.modpat.2023.100247_bib21","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0241934","article-title":"GSTP1 positive prostatic adenocarcinomas are more common in Black than White men in the United States","volume":"16","author":"Vidal","year":"2021","journal-title":"PLoS One"},{"issue":"6","key":"10.1016\/j.modpat.2023.100247_bib22","first-page":"1182","article-title":"Cell cycle progression score, but not phosphatase and tensin homolog loss, is an independent prognostic factor for metastasis in intermediate- and high-risk prostate cancer in men treated with and without salvage radiotherapy","volume":"208","author":"Trock","year":"2022","journal-title":"J\u00a0Urol"},{"issue":"10","key":"10.1016\/j.modpat.2023.100247_bib23","doi-asserted-by":"crossref","first-page":"1539","DOI":"10.1038\/s41379-018-0083-x","article-title":"Association of tumor-infiltrating T-cell density with molecular subtype, racial ancestry and clinical outcomes in prostate cancer","volume":"31","author":"Kaur","year":"2018","journal-title":"Mod Pathol"},{"issue":"2","key":"10.1016\/j.modpat.2023.100247_bib24","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1038\/pcan.2013.8","article-title":"Assessing the order of critical alterations in prostate cancer development and progression by IHC: further evidence that PTEN loss occurs subsequent to ERG gene fusion","volume":"16","author":"Gumuskaya","year":"2013","journal-title":"Prostate Cancer Prostatic Dis"},{"key":"10.1016\/j.modpat.2023.100247_bib25","unstructured":"Xie E, Wang W, Yu Z, Anandkumar A, Alvarez JM, Luo P. SegFormer: simple and efficient design for semantic segmentation with transformers. Preprint. Posted online May 31, 2021. arXiv:2105.15203. https:\/\/doi.org\/10.48550\/arXiv.2105.15203"},{"key":"10.1016\/j.modpat.2023.100247_bib26","doi-asserted-by":"crossref","unstructured":"Liu Z, Lin Y, Cao Y, et\u00a0al. Swin transformer: hierarchical vision transformer using Shifted Windows. Preprint. Posted online March 25, 2021. arXiv:2103.14030. https:\/\/doi.org\/10.48550\/arXiv.2103.14030","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib27","doi-asserted-by":"crossref","first-page":"3383","DOI":"10.1038\/s41598-022-07217-0","article-title":"A\u00a0deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies","volume":"12","author":"Singhal","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.modpat.2023.100247_bib28","unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, et\u00a0al. An image is worth 16x16 words: transformers for image recognition at scale. Preprint. Posted online October 22, 2020. arXiv:2010.11929. https:\/\/doi.org\/10.48550\/arXiv.2010.11929"},{"key":"10.1016\/j.modpat.2023.100247_bib29","doi-asserted-by":"crossref","unstructured":"Caron M, Touvron H, Misra I, et\u00a0al. Emerging properties in self-supervised vision transformers. Preprint. Posted online April 29, 2021. arXiv:2104.14294. https:\/\/doi.org\/10.48550\/arXiv.2104.14294","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"10.1016\/j.modpat.2023.100247_bib30","series-title":"Proceedings of the Eleventh ACM Conference on Recommender Systems 2017 Aug 27","first-page":"297","article-title":"Interpretable convolutional neural networks with dual local and global attention for review rating prediction","author":"Seo","year":"2017"},{"key":"10.1016\/j.modpat.2023.100247_bib31","unstructured":"Shao Z, Bian H, Chen Y, et\u00a0al. TransMIL: transformer based correlated multiple instance learning for whole slide image classification. Preprint. Posted online June 2, 2021. arXiv:2106.00908. https:\/\/doi.org\/10.48550\/arXiv.2106.00908"},{"issue":"3","key":"10.1016\/j.modpat.2023.100247_bib32","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1111\/j.1464-410X.2010.09470.x","article-title":"PTEN genomic deletion is an early event associated with ERG gene rearrangements in prostate cancer","volume":"107","author":"Bismar","year":"2011","journal-title":"BJU Int"},{"issue":"17","key":"10.1016\/j.modpat.2023.100247_bib33","doi-asserted-by":"crossref","first-page":"7991","DOI":"10.1158\/0008-5472.CAN-07-2043","article-title":"Heterogeneity of TMPRSS2 gene rearrangements in multifocal prostate adenocarcinoma: molecular evidence for an independent group of diseases","volume":"67","author":"Mehra","year":"2007","journal-title":"Cancer Res"},{"issue":"4","key":"10.1016\/j.modpat.2023.100247_bib34","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.urology.2007.08.032","article-title":"TMPRSS2-ERG fusion heterogeneity in multifocal prostate cancer: clinical and biologic implications","volume":"70","author":"Barry","year":"2007","journal-title":"Urology"},{"issue":"5","key":"10.1016\/j.modpat.2023.100247_bib35","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1002\/pros.21265","article-title":"TMPRSS2-ERG gene fusion prevalence and class are significantly different in prostate cancer of Caucasian, African-American and Japanese patients","volume":"71","author":"Magi-Galluzzi","year":"2011","journal-title":"Prostate"},{"issue":"18","key":"10.1016\/j.modpat.2023.100247_bib36","doi-asserted-by":"crossref","first-page":"4925","DOI":"10.1158\/1078-0432.CCR-13-2265","article-title":"Evidence for molecular differences in prostate cancer between African American and Caucasian men","volume":"20","author":"Khani","year":"2014","journal-title":"Clin Cancer Res"},{"issue":"5","key":"10.1016\/j.modpat.2023.100247_bib37","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1016\/j.eururo.2016.07.026","article-title":"Prevalence and prognostic significance of PTEN loss in African-American and European-American men undergoing radical prostatectomy","volume":"71","author":"Tosoian","year":"2017","journal-title":"Eur Urol"},{"issue":"2","key":"10.1016\/j.modpat.2023.100247_bib38","doi-asserted-by":"crossref","DOI":"10.1093\/jnci\/djv346","article-title":"A\u00a0prospective investigation of PTEN loss and ERG expression in lethal prostate cancer","volume":"108","author":"Ahearn","year":"2016","journal-title":"J\u00a0Natl Cancer Inst"},{"issue":"12","key":"10.1016\/j.modpat.2023.100247_bib39","doi-asserted-by":"crossref","first-page":"2582","DOI":"10.1038\/bjc.2013.248","article-title":"Prognostic value of PTEN loss in men with conservatively managed localised prostate cancer","volume":"108","author":"Cuzick","year":"2013","journal-title":"Br J Cancer"},{"issue":"5","key":"10.1016\/j.modpat.2023.100247_bib40","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1056\/NEJMoa1603144","article-title":"Inherited DNA-repair gene mutations in men with metastatic prostate cancer","volume":"375","author":"Pritchard","year":"2016","journal-title":"N\u00a0Engl J Med"},{"issue":"5","key":"10.1016\/j.modpat.2023.100247_bib41","doi-asserted-by":"crossref","first-page":"1215","DOI":"10.1016\/j.cell.2015.05.001","article-title":"Integrative clinical genomics of advanced prostate cancer","volume":"161","author":"Robinson","year":"2015","journal-title":"Cell"},{"issue":"22","key":"10.1016\/j.modpat.2023.100247_bib42","doi-asserted-by":"crossref","first-page":"2091","DOI":"10.1056\/NEJMoa1911440","article-title":"Olaparib for metastatic castration-resistant prostate cancer","volume":"382","author":"de Bono","year":"2020","journal-title":"N\u00a0Engl J Med"},{"issue":"32","key":"10.1016\/j.modpat.2023.100247_bib43","doi-asserted-by":"crossref","first-page":"3763","DOI":"10.1200\/JCO.20.01035","article-title":"Rucaparib in men with metastatic castration-resistant prostate cancer harboring a BRCA1 or BRCA2 gene alteration","volume":"38","author":"Abida","year":"2020","journal-title":"J\u00a0Clin Oncol"},{"issue":"5","key":"10.1016\/j.modpat.2023.100247_bib44","doi-asserted-by":"crossref","first-page":"479","DOI":"10.6004\/jnccn.2019.0023","article-title":"Prostate cancer, version 2.2019, NCCN clinical practice guidelines in oncology","volume":"17","author":"Mohler","year":"2019","journal-title":"J\u00a0Natl Compr Canc Netw"},{"key":"10.1016\/j.modpat.2023.100247_bib45","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1200\/EDBK_205441","article-title":"Practical methods for integrating genetic testing into clinical practice for advanced prostate cancer","volume":"38","author":"Cheng","year":"2018","journal-title":"Am Soc Clin Oncol Educ Book"},{"issue":"5","key":"10.1016\/j.modpat.2023.100247_bib46","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1200\/OP.22.00804","article-title":"Germline testing in prostate cancer: implementation and disparities of care","volume":"19","author":"Brown","year":"2023","journal-title":"JCO Oncol Pract"},{"issue":"4","key":"10.1016\/j.modpat.2023.100247_bib47","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1038\/sj.bjc.6605554","article-title":"Molecular characterisation of ERG, ETV1 and PTEN gene loci identifies patients at low and high risk of death from prostate cancer","volume":"102","author":"Reid","year":"2010","journal-title":"Br J Cancer"},{"issue":"2","key":"10.1016\/j.modpat.2023.100247_bib48","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.euf.2015.07.005","article-title":"PTEN loss as determined by clinical-grade immunohistochemistry assay is associated with worse recurrence-free survival in prostate cancer","volume":"2","author":"Lotan","year":"2016","journal-title":"Eur Urol Focus"},{"issue":"12","key":"10.1016\/j.modpat.2023.100247_bib49","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1038\/modpathol.2008.96","article-title":"Absence of TMPRSS2:ERG fusions and PTEN losses in prostate cancer is associated with a favorable outcome","volume":"21","author":"Yoshimoto","year":"2008","journal-title":"Mod Pathol"},{"issue":"4","key":"10.1016\/j.modpat.2023.100247_bib50","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1038\/modpathol.2012.201","article-title":"Cytoplasmic PTEN protein loss distinguishes intraductal carcinoma of the prostate from high-grade prostatic intraepithelial neoplasia","volume":"26","author":"Lotan","year":"2013","journal-title":"Mod Pathol"},{"issue":"1","key":"10.1016\/j.modpat.2023.100247_bib51","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1186\/s12885-022-09559-4","article-title":"Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer","volume":"22","author":"Dadhania","year":"2022","journal-title":"BMC Cancer"}],"container-title":["Modern Pathology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893395223001527?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893395223001527?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:24:10Z","timestamp":1760232250000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893395223001527"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":51,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["S0893395223001527"],"URL":"https:\/\/doi.org\/10.1016\/j.modpat.2023.100247","relation":{},"ISSN":["0893-3952"],"issn-type":[{"value":"0893-3952","type":"print"}],"subject":[],"published":{"date-parts":[[2023,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images","name":"articletitle","label":"Article Title"},{"value":"Modern Pathology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.modpat.2023.100247","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 United States & Canadian Academy of Pathology. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"100247"}}