TissueImageAnalytics / Context-Aware-CNN

Context-Aware Convolutional Neural Network for Histology Images

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images

Table of Contents

  1. Introduction
  2. Citation
  3. Dataset
  4. Model
  5. Prerequisites
  6. License

Introduction

This repository contains the implementation of Context-Aware CNN as described in the paper.

IF FORKED DO NOT REMOVE

Citation

The journal paper on this work is currently under review in IEEE Transactions on Medical Imaging. If you want to refer this work in your research, please cite our arXiv preprint on this work:

@article{Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images},
  author={Shaban, Muhammad and Awan, Ruqayya and Fraz, Muhammad Moazam and Azam, Ayesha and Snead, David and Rajpoot, Nasir M},
  journal={arXiv preprint arXiv:1907.09478},
  year={2019}
}

Dataset

We have plan to release the train and validation dataset after acceptance of our paper. Please contact Prof. Nasir Rajpoot (n.m.rajpoot@warwick.ac.uk) for dataset related queries.

Training

Model

Prerequisites

Following software packages will be required to run this code:

-- Python 3.5
   -- tensorflow-gpu=1.8.0
   -- keras=2.1.6
   -- openslide
   -- opencv_python
   -- scipy

Authors

See the list of contributors who participated in this project.

License

This project is licensed under the GNU General Public License - see the LICENSE.md file for details.

About

Context-Aware Convolutional Neural Network for Histology Images

License:Other