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