Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering.

Abstract excerpt

Deep learning models are increasingly being used to interpret whole-slide images (WSIs) in digital pathology and to predict genetic mutations. Currently, it is commonly assumed that tumor regions have most of the predictive power. However, it is reasonable to assume that other tissues from the tumor microenvironment may also provide important predictive information. In this paper, we propose an unsupervised...

Topics

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• Algorithms
• Cluster Analysis
• Deep Learning
• Mutation
• Tumor Microenvironment