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Base and example Docker images for the Digital Mammography DREAM Challenge

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clear-datacenter/dm-docker

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Docker images for the Digital Mammography DREAM Challenge

Overview

This repository contains the Dockerfiles required to build the example images provided for the Digital Mammography DREAM Challenge.

Docker images

Frameworks

Pre-processing

  • dm-preprocess-png: resizes and converts the images to PNG (Repository)
  • dm-preprocess-lmdb: resizes and saves the images to a Lightning Memory-mapped Database (Repository)
  • dm-preprocess-caffe: prepares the data before training a Caffe model (Repository)

Training

  • dm-train-caffe: trains an AlexNet or GoogLeNet model using Caffe (Repository)
  • dm-train-tensorflow
  • dm-train-keras

Set Environment Variables

TODO: Add description on how to set environment variables (e.g. RANDOM_SEED)

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Base and example Docker images for the Digital Mammography DREAM Challenge

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  • Python 76.3%
  • Shell 13.4%
  • C++ 9.9%
  • MATLAB 0.4%

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