Automatic grading of breast cancer whole-slide histopathology images

Abstract

Grading of tissue based on microscopic images is a common and challenging task. We propose a new method for grading of whole-slide histology images of invasive breast carcinoma, which is based on mitotic cell detection. The method combines a threshold-based attention mechanism and a deep neural network for mitotic cell detection and grading. Our mitotic cell detector is learned from scratch using object centroids. We achieved competitive results in the recent MICCAI TU-PAC16 challenge.