Abstract:
The major branch of data mining used to assign raw data to a particular group is classification. It is a method used to forecast the group association for data objects. Medical Imaging is dealing with the designing of automated systems to help physician diagnosis. In this paper, we present the comprehensive study of some classification techniques used in Medical Imaging. Several types of classification methods including Support Vector Machine, Bayesian networks, Neural networks, k-nearest neighbor classifier, and fuzzy logic techniques are used for this purpose. This study is providing a wide-ranging review of classification techniques used in medical diagnostic systems like diabetic retinopathy, foot ulcer and other related to medical field.
