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data procesing reductant Aug 10, 2018
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README.md modified Aug 11, 2018

README.md

Heart Segmentation

The aim of the project is to investigate how to come up with an ensemble of convolutional neural networks for heart segmentation. This is our submission to 2018 International Workshop on Statistical Atlases and Computational Modeling of the Heart.

Getting Started

Please visit the organizer's website (http://stacom2018.cardiacatlas.org/) for the raw data, which contain 100 3D late gadolinium-enhanced (LGE)-MRIs with a spatial resolution of 0.625mm x 0.625mm x 0.625mm from patients with atrial fibrillation.

Prerequisites

  • Pytorch 0.4.0

  • Anaconda Python 3.5

  • SimpleITK 1.1.0

  • CUDA 9.0

  • CUDNN 7005

  • GPU with Kepler generation of architecture or above

  • GPU memory 3GB or above

  • RAM 32GB

Installing

It is recommended to install all the prerequisites and have suitable hardware in place.

Authors

  • Wilson Fok

Acknowledgments

  • Big thanks must be given to the organizer of the challenge.