Classifying cancerous breast histology images using Convolutional Neural Network in TensorFlow. This dataset consists of 5547 breast histology images of size 50 x 50 x 3, curated from Andrew Janowczyk website and used for a data science tutorial at Epidemium. The goal is to classify cancerous images (IDC : invasive ductal carcinoma) vs non-IDC images.
The neural network is implemented as a python class and the complete TensorFlow session can be saved to or restored from a file. We also implement tensor summaries, which can be visualized with TensorBoard.