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contentType Journal Article
issn 0893-3952
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publicationName Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
startingPage 100241
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bibliographicCitation Patel P, Harmon S, Iseman R, Ludkowski O, Auman H, Hawley S, Newcomb LF, Lin DW, Nelson PS, Feng Z, Boyer HD, Tretiakova MS, True LD, Vakar-Lopez F, Carroll PR, Cooperberg MR, Chan E, Simko J, Fazli L, Gleave M, Hurtado-Coll A, Thompson IM, Troyer D, McKenney JK, Wei W, Choyke PL, Bratslavsky G, Turkbey B, Siemens DR, Squire J, Peng YP, Brooks JD, Jamaspishvili T. Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study. Modern Pathology. 2023 Oct;36(10):100241. doi: 10.1016/j.modpat.2023.100241.
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date 202310
identifier https://pubmed.ncbi.nlm.nih.gov/37343766
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language English
source https://pubmed.ncbi.nlm.nih.gov/
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title Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study
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