A Survey On Automatic Breast Cancer Grading Of Histopathological Images

Histopathology deals with the microscopic examination of tissues. The thin tissue specimen is collected from patients' body and converted to slides to make them useful for microscopic examination. Breast cancer histopathological images help pathologists in breast cancer grading and thus earlier prognosis is possible. Nottingham Grading system (NGS) is currently being used in most laboratories for breast cancer grading. Mitosis count plays an important role in the grading process. With the help of whole slide digital scanners, we can get digitized histopathological images. Thus computer-aided image analysis systems can be used to automatically find out breast cancer grade. This paper reviews the existing works on the automatic grading of breast cancer histopathological images. This study also intends to find out the challenges and future scope in order to reach robust analysis and grading.