AbdomenNet - PyTorch implementation

A fully convolutional network for quick and accurate segmentation of abdominal organs

Getting Started

Pre-requisites

Please install the required packages for smooth functioning of the tool by running

pip install -r requirements.txt

Training your model

python run.py --mode=train

Evaluating your model

python run.py --mode=eval

Evaluating the model in bulk

Execute the following command for 3-view aggregated evaluations:

python run.py --mode=eval_bulk

This saves the segmentation files at nifti files in the destination folder.

Code Authors

• Jyotirmay Senapati - jyotirmay-senapati
• Anne-Marie Rickmann - annemarierickmann

Help us improve

Let us know if you face any issues. You are always welcome to report new issues and bugs and also suggest further improvements. And if you like our work hit that star button on top. Enjoy :)