This repository contains the source code of our paper Learning to Segment Breast Biopsy Whole Slide Images

If you are using this source code, please cite our following paper:

@inproceedings{mehta2017learning,
  title={Learning to Segment Breast Biopsy Whole Slide Images},
  author={Mehta, Sachin and Mercan, Ezgi and Bartlett, Jamen and Weaver, Donald L and Elmore, Joann G and Shapiro, Linda G},
  booktitle={Applications of Computer Vision (WACV), 2018 IEEE Winter Conference on},
  year={2018},
  organization={IEEE}
}

You can train you model by executing the following command:

    CUDA_VISIBLE_DEVICES=0 th main.lua

If you wish to modify the parameters, you can pass command line arguments, as below. See opts.lua for mode command-line options

CUDA_VISIBLE_DEVICES=0 th main.lua -lr 0.0001

The above command will run the code with an initial learning rate of 0.0001.

This software is released under a creative commons license which allows for personal and research use only. For a commercial license please contact the authors. You can view a license summary here.

The source code is adapted from MSRSegNet