Artificial Intelligence Techniques for Colon Cancer Detection: A Review

Abstract

Cancer is the uncontrolled expansion of growth cells in any part of the body producing a tumor or neoplasm. Breast cancer, skin cancer, mouth cancer, colon cancer, and prostate cancer are just a few of the more than a hundred different forms of cancer. Treatment delays can lead to serious health issues and even death. This research reviews various artificial intelligence techniques for colon cancer screening. The methods used for detection include automated and computer-aided detection systems with artificial intelligence, additionally; they excel at processing large datasets to generate reliable results for the identification of colon cancer. To apply these processing systems on a big scale, however, they must overcome several challenges, such as pre-processing, feature detection, and classification algorithms that are compatible with AI. This essay examines a number of distinct approaches. To accommodate the expanding patient population and for the betterment of the healthcare system, these procedures have become urgently necessary.