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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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Literature Corpus work
9086f192-dedc-55fc-9f51-719d5d4f1fb5
DOI
10.1101/2021.09.20.461088
Open publication

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Image model embeddings for digital pathology and drug development via self-supervised learningDOI 10.1101/2021.09.20.461088
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