An Overview of Medical Images Classification based on CNN

Toqa A Sadoon; Mohammad HR Ali

doi:10.14741/ijcet/v.10.6.1

Toqa A Sadoon Department of Electronic and Communications Engineering, College of Engineering, Al-Nahrain University PO Box 64040, Baghdad, Iraq
Mohammad HR Ali Department of Electronic and Communications Engineering, College of Engineering, Al-Nahrain University PO Box 64040, Baghdad, Iraq

DOI: https://doi.org/10.14741/ijcet/v.10.6.1

Keywords: Medical Image, Image Pre-processing, Image Classification, Deep Learning, Convolutional Neural Network.

Abstract

Classifying medical images is a fundamental problem in computer vision as well as image segmentation and detection. There are a lot of methods used to classify images such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and Convolutional Neural Network (CNN). CNN has been played a vital role in classification in the last years, due to the power of deep learning among other types of machine learning. In this paper, the basic concept of CNN has been summarized. Moreover, various models are simply discussed on the CNN.