GitHub

3D MRI Brain Tumor Segmentation Using Autoencoder Regularization

This code has been implemented in python language using Pytorch framework. Following environements and libraries are needed to run the code: Python 3 torch version 1.12.0 torchvision 0.13.0 The ...

AI and 3D-printed tumor organoids could rapidly uncover promising cancer therapies

Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting ...
GitHub

HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation

(Optional) Split the training set into k-fold for the cross-validation experiment. Sync bacth normalization is used so that a proper batch size is important to obtain a decent performance. Multiply ...
Frontiers

Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound images

Tumor heterogeneity poses a significant challenge for predicting responses to cancer therapy, highlighting the need for the development of biomarkers to guide personalized treatment. Contrast-enhanced ...