Article

Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images

2024-06-28

Abstract excerpt

<h4>Summary</h4> <h4>Background</h4> Recent advancements in computational pathology have introduced deep learning methods to predict genomic, transcriptomic and molecular biomarkers from routine histology whole slide images (WSIs) for cancer diagnosis, prognosis, and treatment. However, existing methods often overlook the critical role of co-dependencies among biomarker statuses during training and inference. We...

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Literature Corpus work: e3d80fdb-7812-5303-b7f5-f42467735d95
DOI: 10.1101/2024.06.23.600257

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