Computer Aided Diagnosis (CAD) For Colon Based on Colonoscopy Image

Abstract

The intestine is part of the human digestive system which starts from the stomach to the anus which consists of two parts, namely the small intestine and the large intestine (colon). Many types of diseases and inflammation that occur in the large intestine are caused by many factors, where if the inflammation gets worse it can cause colon cancer. In the medical world, conventional disease detection is based on detection by taking blood tests or tissue samples using a microscope that can be seen visually with the human eye. Taking a test like this may result in errors that will affect the final diagnosis of the disease. So in the final project, a Computer Aided Diagnosis (CAD) system was made to be able to detect and classify the types of diseases in the large intestine from the colonoscopy image using the Adaptive Neuro Fuzzy Inference System (ANFIS) method quickly and accurately so as to ease the work of medical professionals.