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Computer Vision Fall 2018 Project

Authors: Yair Schiff ([email protected]) and Joanna Bitton ([email protected])

Instructor: Prof. Rob Fergus

Overview:

This repository applies the Mask R-CNN architecture and other Convolutional Neural Network architectures to breast mammography data, namely the "Digital Database for Screening Mammography" (DDSM) and INbreast datasets.

  • The data preparation directory contains scripts for processing the DDSM and INbreast data set for the segmentation and classification tasks.
  • The classification directory contains scripts for training and evaluating classification of mass presence in a mammography image.
  • The Mask R-CNN directory contains scripts for running the matterport implemenation of the Mask R-CNN algorithm on the mammography data.