The source code is an implementation of our method described in the paper "Survival Analysis of Breast Cancer Utilizing Integrated Features with Ordinal Cox Model and Auxiliary Loss".

Implementation of Guided GradCAM in Keras

code for snet project

myvi is a simple and light mayavi, m(a)y(a)vi.

wrapping a keras optimizer to implement gradient accumulation

Keras code and weights files for popular deep learning models.

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

residual attention unet for tumor segmentation (liver and brain)

Keras implementation of Non-local Neural Networks

常用代码集成

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

深度学习-病害识别