Review Of The Recent Methods For Classification Of Colorectal Polyps Using Computer Aided Diagnosis

Colorectal cancer is one of the prevalent forms of fatal cancer. The presence of tumors inside the colon is identified through colonoscopy which helps to determine whether the polyp is benign or malignant. Prediction of the polyp histology during colonoscopy itself will help to reduce the number of unnecessary biopsies due to false diagnosis. Hence, accurate classification of the polyp is critical for effective treatment and improved patient outcomes. Over the years, lots of work has been done to improve the performance of colorectal cancer classification systems using computer aided diagnosis. This paper presents the various approaches used for colorectal cancer classification while also addressing the existing limitations associated with different methodologies. Although substantial progress has been made in this field in the past few years, several important obstacles must still be overcome to achieve an accurate and reliable classification of polyps. This article will also help academicians and practitioners in this field to familiarize with state-of-the-art techniques.