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Description

Unet 3D for cardiac segmentation.

Prerequisites

  • Linux or macOS or Win
  • Python 3
  • CPU or NVIDIA GPU + CUDA CuDNN

Getting Started

Installation

  • Install PyTorch and 0.4+ and other dependencies (e.g., torchvision, visdom and dominate).

    • For Conda users, you can create a new Conda environment using conda env create -f environment.yml.
  • Clone this repo:

git clone https://github.com/lino202/3Dseg
cd 3Dseg

Training

Explore data/create_dataset.py to get your data ready and before running init the visdom server if you would like to see the training proccess with

python -m visdom.server

Acknowledgments

Our code is inspired by pytorch-CycleGAN-and-pix2pix and topological-losses.