Deep Learning Models for Medical Image Analysis in Smart Healthcare System: A Review

Abstract

The concept of Smart Healthcare has become a reality thanks to advances in information and communication technologies (ICT). The medical image analysis in smart healthcare system is the fastest emerging area in medical science field. In parallel the artificial intelligence has become an increasingly important aspect in this field. The major component of artificial intelligence (AI) is many machine learning (ML) models which apply in medical diagnosis and treatment with the advancement of healthcare system industry. Deep Learning has been used extensively to analyze the data generated by Internet of Medical Things (IOMT) devices in a smart healthcare by several scientific researchers. The aim of this paper is to discuss the use of deep learning techniques to analyze medical images in the smart healthcare systems. In the literatures studies, we did not focus on a single specific task, we talked about several issues in the field of health: A state of the art on the determination of the best deep learning models that have been used for medical image analysis, our research was also around the study of the use of deep learning in other diseases and more precisely in the analysis of dental images.