Deep Learning Approaches for Medical Image Analysis and Disease Diagnosis

Abstract

Propose: Today, there has been a major global advancement in medical image-based diagnosis. A great deal of research is being done in this area, and the results are having a big influence on mankind. In this industry, the volume of data being generated and stored in databases is rapidly increasing. It is important to examine this data to identify significant underlying trends. Classification is a useful technique for spotting these trends..

 Aim: In comparison to conventional methods, deep learning models possess the potential to identify intricate patterns and characteristics in medical photographs. This capability could lead to significantly more accurate diagnoses, potentially revolutionizing the field of medical image-based diagnosis.