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Deep-learning and transfer learning identify new breast cancer survival subtypes from single-cell imaging data

2023-09-15

Abstract excerpt

<h4>ABSTRACT</h4> Quantitative models that explicitly capture single-cell resolution cell-cell interaction features to predict patient survival at population scale are currently missing. Here, we computationally extracted hundreds of features describing single-cell based cell-cell interactions and cellular phenotypes from a large, published cohort of cyto-images of breast cancer patients. We applied these features...

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Literature Corpus work
c045f4a9-0bc9-5be5-a681-31a4f5cf6f20
DOI
10.1101/2023.09.14.23295578
Open publication

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Deep-learning and transfer learning identify new breast cancer survival subtypes from single-cell imaging dataDOI 10.1101/2023.09.14.23295578
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