Review of Classification Techniques Using Deep Learning for Colorectal Cancer Imaging Modalities

Abstract

Colorectal Cancer has nowadays become one of the major cause of mortality and morbidity worldwide. It is likely to be curable when detected early. But for ensuring its correct diagnosis, double checking of biopsy or colonoscopy images needed to be done. Due to which diagnostic burden on pathologists has increased. Thus in order to assist pathologists, various computerized automated image analysis method has been timely proposed for accurate cancer detection. In this paper, the various recent deep learning techniques proposed for detection and classification of colorectal cancer are discussed.