A Deep Exploration of Imaging Diagnosis Approaches for IoMT-Based Coronavirus Disease of 2019 Diagnosis System - A Case Study

In the year 2019, the entire world was shaken by a vulnerable pandemic disease due to coronavirus. The earliest detection of persons with the symptoms could help in order to break the spread chain. The testing is majorly done by two methods: laboratory and image-based serving as utilizing upper body radiogram and computer-assisted tomography scan. The images obtained by these medical methods have undergone many artificial intelligence techniques to give abrupt results. More than laboratory results, the chest scan imaging was found to provide details about coronavirus. The important features to be considered and selected for coronavirus disease of 2019 analysis of chest scan are discussed in this chapter. Further in this chapter, the features highlighting the severity of coronavirus disease are deeply discussed. The auxiliary use of various artificial intelligence techniques such as VGG-16, Inception V3, ResNet-50, DenseNet, Inf-Net, MSD-Net, ShuffleNet, CNN, UNet++, SVM, squeeze algorithm, BER algorithm, prior attention residual algorithm, weakly supervised deep learning, and decision fusion for imaging diagnosis is discussed. The wide variety of datasets available for coronavirus disease imaging analysis, their properties, advantages, and shortcomings are discussed. Other imaging techniques other than computer-assisted tomography and radiography scans for coronavirus disease analysis such as positron emission tomography, magnetic resonance imaging, and lung ultrasound are discussed with their ability to detect coronavirus disease. The testing is majorly done by two methods: laboratory and image-based serving as utilizing upper body radiogram and computer-assisted tomography scan. The images obtained by these medical methods have undergone many artificial intelligence techniques to give abrupt results. The symptoms of coronavirus disease include coughing, fever, body aches, tiredness, and difficulty breathing. In an outbreak of coronavirus disease symptom imaging device, sound classification-based cough detection and elevated body temperature detection with coughing action using thermal camera surveillance are implemented. Positron emission tomography exists as a delicate, but aggressive picturing procedure. It plays a significant part in assessing inflammatory pulmonary diseases and infectious pulmonary diseases. The habit of ultrasonography in the crisis sector, life-threatening care, and cardiac caution entities is flatteringly prevalent. An MRI scan ha