Click to navigate: Part 1 -> Part 2 -> Part 3

Segmenting Abnormalities in Mammograms (Part 3 of 3)

A step-by-step guide to implementing a deep learning semantic segmentation pipeline on mammograms in TensorFlow 2

COOKIE — The answer will to this mammogram will be revealed at the end of this article! Image by author. Mammograms and masks retrieved from CBIS-DDSM.

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Article Structure

This article is Part 3 of a 3-part series that walks through how I tackled a deep learning project of identifying mass abnormalities in mammogram scans using an image segmentation model. As a result of breaking down the project in detail, this serves as a comprehensive overview of one of the core problems in computer vision — semantic segmentation, as well as a deep dive into the technicalities of executing this project in TensorFlow 2.

Part 1:

• Problem statement.
• What is semantic segmentation.
• Guide to downloading the dataset.
• What you’ll find in the dataset.
• Unravelling the nested folder structure of the dataset.