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MULTIMODAL-MULTITASK-SELFSUPERVISED XDEEP-MSI: EXPLAINABLE BIAS-REJECTING MICROSATELLITE INSTABILITY DEEP LEARNING SYSTEM IN COLORECTAL CANCER

2022-12-30

Abstract excerpt

<h4> A bstract </h4> The prediction of microsatellite instability (MSI) in colorectal cancer (CRC) using deep learning (DL) techniques directly from hematoxylin and eosin stained slides (H&E) has been shown feasible by independent works. Nonetheless, when available, relevant information from clinical, oncological and family history could be used to further inform DL predictions. The present work analyzes the ef...

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Literature Corpus work: 239e40f0-0daa-579b-890a-6c3bfb42f9a2
DOI: 10.1101/2022.12.29.22284034

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