An Overview of Medical Images Classification based on CNN
Pages : 900-905, DOI: https://doi.org/10.14741/ijcet/v.10.6.1
Download PDF
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.
Keywords: Medical Image, Image Pre-processing, Image Classification, Deep Learning, Convolutional Neural Network.
Article published in International Journal of Current Engineering and Technology, Vol.10, No.6 (Nov/Dec 2020)
MECHPGCON, MIT College of Engineering, Pune, India
AMET, MIT College of Engineering, Pune, India
International Conference on Advances in Mechanical Sciences 
International Symposium on Engineering and Technology
International Conference on Women in Science and Engineering
