Data and Codes for Publication: "Sexually Dimorphic Computational Histopathological Signatures Prognostic of Overall Survival in High-Grade Gliomas via Deep Learning"
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下载链接：
https://zenodo.org/record/12725972
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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
