Article

Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis

2019-10-25

Abstract excerpt

The diagnosis of cancer is typically based on histopathological assessment of tissue sections, and supplemented by genetic and other molecular tests 1–6 . Modern computer vision algorithms have high diagnostic accuracy and potential to augment histopathology workflows 7–9 . Here we use deep transfer learning to quantify histopathological patterns across 17,396 hematoxylin and eosin (H&E) stained histopathology s...

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Literature Corpus work: cbbbeb5b-7b2c-58e8-a627-4c5a631ed737
DOI: 10.1101/813543

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