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Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning

2023-06-01

Abstract excerpt

Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy. Spatial transcriptomics technologies may address these challenges, as they provide a wealth of information about gene expression at the cell level, but they are expensive, hindering their use in large-scale clinical oncology studies. Predicting gene expression from hematoxylin and eosin stained histology images pr...

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Literature Corpus work
8422977c-b39d-58ff-8d20-36a406395dfb
DOI
10.21203/rs.3.rs-2983276/v1
Open publication

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Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learningDOI 10.21203/rs.3.rs-2983276/v1
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