Article

Deep Texture Representations as a Universal Encoder for Pan-cancer Histology

2020-07-29

Abstract excerpt

<h4>Summary</h4> Cancer histological images contain rich biological and clinical information, but quantitative representation can be problematic and has prevented direct comparison and accumulation of large-scale datasets. Here we show that deep texture representations (DTRs) produced by a bilinear Convolutional Neural Network, express cancer morphology well in an unsupervised manner, and work as a universal enco...

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Literature Corpus work: 012bb99c-8ff0-5a94-96e9-1e3f69b08f44
DOI: 10.1101/2020.07.28.224253

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