Breast Cancer Detection from Histopathology Images Based on YOLOv5

In biomedicine, cells nuclei detection is a leading topic research and one of the most challenging. Histopathological analysis represents the cells of the tissue sample that provide a set of essential information for detection and characterization of the cancer. Deep learning (DL) has recently demonstrated promising performance in breast cancer diagnosis, thus in this paper, we present a cells detection algorithm, based on the well-knownYOLOv5 DL model as the backbone network. The proposed algorithm is applied on a public dataset of hematoxylin and eosin (H&E) stained tissue images for evaluation.