A deep learning model to predict RNA-Seq expression of tumours from whole slide images
A deep learning model to predict RNA-Seq expression of tumours from whole slide images
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Deep learning methods for digital pathology analysis are an effective way to address multiple clinical questions, from diagnosis to prediction of treatment outcomes. These methods have also been used to predict gene mutations from pathology images, but no comprehensive evaluation of their potential for extracting molecular features from histology s...
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Full title
A deep learning model to predict RNA-Seq expression of tumours from whole slide images
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TN_cdi_doaj_primary_oai_doaj_org_article_d4db17b3e50d44079b75aaf30a53561e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d4db17b3e50d44079b75aaf30a53561e
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-020-17678-4
