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Clean up codes before merge with master.
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floccinauci committed Jun 30, 2019
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29 changes: 29 additions & 0 deletions LICENSE
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BSD 3-Clause License

Copyright (c) 2019, Department of Biomedical Informatics
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
21 changes: 17 additions & 4 deletions README.md
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# Nuclear image synthesis and segmentation code

## Nuclear image synthesis
training-data-synthesis
This repository contains source code for the following paper:
Robust Histopathology Image Analysis: to Label or to Synthesize? Hou, Le and Agarwal, Ayush and Samaras, Dimitris and Kurc, Tahsin M and Gupta, Rajarsi R and Saltz, Joel H. Computer Vision and Pattern Recognition (CVPR), 2019

## Nuclei segmentation
segmentation-tensorflow
You need the following python2 libraries to run this software:
```
tensorflow
scipy
numpy
json
pickle
cv2
```

If you want to obtain initial synthetic images with nuclear masks, please read training-data-synthesis/README.md
If you want to train your nuclei segmentation model, or use our trained nuclei segmentation model, please read segmentation-of-nuclei/README.md

This software uses several open source repositories, especially:
https://github.com/carpedm20/simulated-unsupervised-tensorflow
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