Article

H&E-stained Whole Slide Image Deep Learning Predicts SPOP Mutation State in Prostate Cancer

2016-07-17

Abstract excerpt

A quantitative model to genetically interpret the histology in whole microscopy slide images is desirable to guide downstream immuno-histochemistry, genomics, and precision medicine. We constructed a statistical model that predicts whether or not SPOP is mutated in prostate cancer, given only the digital whole slide after standard hematoxylin and eosin [H&E] staining. Using a TCGA cohort of 177 prostate cancer pat...

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Literature Corpus work: e4648ef7-a3f7-5087-bcc1-c3f8bed48d9c
DOI: 10.1101/064279

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