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

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

Abstract 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...

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Bibliographic Details
Main Authors: Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:The Journal of Pathology: Clinical Research
Subjects:
deep learning
whole‐slide images
H&E image
gene mutation
unsupervised clustering
Online Access:https://doi.org/10.1002/cjp2.302

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