DeepMitosis: Mitosis Detection via Deep Detection, Verication and Segmentation Networks

Mitotic count is a critical predictor of tumor aggressiveness in the breast cancer diagnosis. Nowadays mitosis counting is mainly performed by patholo-gists manually, which is extremely arduous and time-consuming. In this paper, we propose an accurate method for detecting the mitotic cells from histopatho-logical slides using a novel multi-stage deep learning framework. Our method consists of a deep segmentation network for generating mitosis region when on-ly a weak label is given (i.e., only the centroid pixel of mitosis is annotated), an elaborately designed deep detection network for localizing mitosis by using contextual region information, and a deep veri cation network for improving detection accuracy by removing false positives.
Source: Medical Image Analysis - Category: Radiology Authors: Source Type: research