In this post, we'll a step-by-step guide to implementing a deep learning semantic segmentation pipeline on mammograms in TensorFlow 2
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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.
This article will simply explain the concept which will help you understand the difference between Machine Learning and Deep Learning.
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