Meta-Heuristic Optimization Based Convolutional Neural Network for Medical Image Classification: A Survey

Abstract

Convolutional Neural Networks (CNN) have played very significant role in image related tasks due to their high accuracy and real time processing. Some applications of these networks are image classification, image segmentation, object detection in images. Images are usually applied in healthcare field for both diagnosis as well as surgical operations. CNN has showed superior performance in solving complex image processing problems. These CNN are further optimized with meta-heuristic techniques to obtain better accuracy to accomplish the need of the hour. This paper provides a brief survey on the usage of CNN in medical image classification as well as the applicability of meta-heuristic in improving the performance of CNN for classification purpose.