Convolutional neural network (CNN) for image detection and recognition in medical diagnosis

Abstract

Medical image analysis is the science of resolving clinical issues using photographs produced in clinical practise. The objective is to extract information effectively and efficiently for better clinical diagnosis. Medical diagnosis analysis is the best in research areas as a result of recent developments in the biomedical engineering industry. The use of machine learning algorithms for the analysis of medical pictures is one of the factors causing this improvement. CNN models are built in this article to be evaluated on image recognition and detection datasets. This study provides a detailed analysis of the technology in medicine.