Breast Cancer Histological Image Classification using Ensemble Convolutional Neural Networks and Triplet Loss

It is shown how the triplet loss helped the model converge faster and improved the model accuracy in the classification task and how the visualization of the predicted embeddings can help display the model behavior and figure out the challenging diagnoses and how it can be addressed.