An optimization-based deep learning pipeline selects informative patches from H&E whole-slide images to classify breast cancer into PAM50 subtypes, achieving F1 scores of 0.88 internally and 0.80 externally.
Comprehensive analysis based on DNA methylation and RNA -seq reveals hypermethylation of the up -regulated WT1 gene with potential mechanisms in PAM50 subtypes of breast cancer
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A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection
An optimization-based deep learning pipeline selects informative patches from H&E whole-slide images to classify breast cancer into PAM50 subtypes, achieving F1 scores of 0.88 internally and 0.80 externally.