Article
Image model embeddings for digital pathology and drug development via self-supervised learning
2021-09-23
Abstract excerpt
<h4>ABSTRACT</h4> Whole slide images (WSIs) contain rich pathology information which can be used to diagnose cancer, characterize the tumour microenvironment (TME), assess patient prognosis, and provide insights into the likelihood of whether a patient may respond to a given treatment. However, since WSI availability is generally scarce during early stage clinical trials, the applicability of deep learning models...
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Identifiers and source
- Literature Corpus work
- 9086f192-dedc-55fc-9f51-719d5d4f1fb5
- DOI
- 10.1101/2021.09.20.461088
