Review on Colon Cancer Prevention Techniques and Polyp Classification

Colorectal Cancer is the second largest type of life-threatening disease in humanity for a long time. The major causes of CRC are enlisted. Colonoscopy followed by the polypectomy during the procedure is the known method adopted for survival. Identifying the precancerous polyp is the challenging task as well as for disease-free survival. For this alone a few deep learning as well as profound learning strategies are recommended for the analysis, classification, and identification of the object that is generally in the form of a polyp. The detection of the presence of polyp for the given set of images materializes the success of the proposed process model that caters to the neural networks algorithm.