# Modified-3D-UNet-Pytorch

**Repository Path**: jinxiang/Modified-3D-UNet-Pytorch

## Basic Information

- **Project Name**: Modified-3D-UNet-Pytorch
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-29
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Modified-3D-UNet-Pytorch
This repository implements the modified 3D UNet architecture in pytorch from [Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge](https://arxiv.org/abs/1802.10508) Fabian Isensee et al. participating in BraTS2017.

You are able to find the PyTorch version of the modified 3D UNet in `model.py`

The model works but you have to work on data loading part and training part.

Please refer to our [BraTS2018-tumor-segmentation](https://github.com/pykao/BraTS2018-tumor-segmentation) repo if you would like to use this model on brain tumor segmentation.