most citedPredicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer

35 citations · 35 across the 1 of their papers we have counts for

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1 paper

q-bio.QM2022★ 35 cited

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer

Bangwei Guo, Xingyu Li, Jitendra Jonnagaddala +2

Artificial intelligence (AI) models have been developed for predicting clinically relevant biomarkers, including microsatellite instability (MSI), for colorectal cancers (CRC). How…