Code Monkey home page Code Monkey logo

ra_fa_cardiac's Introduction

RA_FA_Cardiac

Disentangled Representations for Domain-generalized Cardiac Segmentation [Paper]. In M&Ms Challenge of STACOM 2020.

The repository is created by Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, and Sotirios A. Tsaftaris, as a result of the collaboration between The University of Edinburgh and Canon Medical Systems Europe.

This repository contains the official PyTorch implementation of the Resolution Augmentation (RA) and Factor-based Augmentation (FA) methods proposed in the paper.

System Requirements

  • Pytorch 1.5.1 or higher with GPU support
  • Python 3.7.2 or higher
  • SciPy 1.5.2 or higher
  • tqdm
  • logging
  • CUDA toolkit 10 or newer

SDNet

In this repository, we train a SDNet [code], [paper] with our proposed Resolution Augmentation and Factor-based Augmentation in a semi-supervised manner.

Resolution Augmentation

We propose to use random resampling to augment the original dataset such that the resolutions of all the data are equally distributed in a certain range.

Factor-based Augmentation

We first pre-train a SDNet model to extract the anatomy and modality factors. Then mix the anatomy and modality factors to generate new images.

Usage

To train the model, run the following command:

python train.py -e 50 -bs 4 -g 0

Citation

If you find our method useful please cite the following paper:

@article{liu2020disentangled,
  title={Disentangled Representations for Domain-generalized Cardiac Segmentation},
  author={Liu, Xiao and Thermos, Spyridon and Chartsias, Agisilaos and O'Neil, Alison and Tsaftaris, Sotirios A},
  journal={arXiv preprint arXiv:2008.11514},
  year={2020}
}

License

All scripts are released under the MIT License.

ra_fa_cardiac's People

Contributors

xxxliu95 avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.