Data and Codes for Publication: "Sexually Dimorphic Computational Histopathological Signatures Prognostic of Overall Survival in High-Grade Gliomas via Deep Learning"
收藏NIAID Data Ecosystem2026-05-02 收录
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资源简介：
Data The patches and the associated tumor segmentation labels (expert-vetted) from our analysis are available in Patches.pytable file.CodesThe codes for training tumor segmentation models and conducting survival analysis are available in the following files ResNet-train: Code to train Resnet18 model for Tumor Segmentation Tumor_Segmentation: Code to segment tumor regions from WSI using ResNet18 model ResNet_Cox_train: Code to train ResNet-Cox model in 5 folds cross-validation setting Evaluate_ResNetCox: Code to evaluate ResNet-Cox model
创建时间：
2024-07-11
