Breast cancer histopathology image classification using an ensemble of optimized pretrained models with a trainable ensemble strategy classifier

A new ensemble architecture to improve both the binary and sub-class classification performances of breast cancer histopathological images using three efficient pre-trained deep learning models together with the use of Bayesian optimization algorithm and an enhanced ensemble strategy is proposed.