Deep Learning for Breast Cancer Identification from Histopathological Images

Breast cancer is one of the leading causes of death by cancer for women. Early detection can give patients more treatment options. In order to detect signs of cancer, breast tissue from biopsies is stained to enhance the nuclei and cytoplasm for microscopic examination. Then, pathologists evaluate the extent of any abnormal structural variation to determine whether there are tumors. Since the majority of biopsies find normal and benign results, most of the manual labelling of these microscopic images is redundant.