首页>
外国专利>
Generalizable and Interpretable Deep Learning Framework for Predicting MSI from Histopathology Slide Images
Generalizable and Interpretable Deep Learning Framework for Predicting MSI from Histopathology Slide Images
展开▼
机译：可从组织病理学幻灯片图像预测MSI的通用性和可解释性深度学习框架
展开▼
页面导航
摘要
著录项
相似文献
摘要
A generalizable and interpretable deep learning model for predicting microsatellite instability from histopathology slide images is provided. Microsatellite instability (MSI) is an important genomic phenotype that can direct clinical treatment decisions, especially in the context of cancer immunotherapies. A deep learning framework is provided to predict MSI from histopathology images, to improve the generalizability of the predictive model using adversarial training to new domains, such as on new data sources or tumor types, and to provide techniques to visually interpret the topological and morphological features that influence the MSI predictions.
展开▼
