Hassanien A.E., Khamparia A., Gupta D., Shankar K., Slowik A. (Eds.) Cognitive Internet of Medical Things for Smart Healthcare: Services and Applications

Sprimger, 2021. — 234 p. — (Studies in Systems, Decision and Control 311). — ISBN: 978-3-030-55832-1.This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.A Review of Applications, Security and Challenges of Internet of Medical Things
IoT Enabled Technology in Secured Healthcare: Applications, Challenges and Future Directions
A Comparative Analysis of Image Denoising Problem: Noise Models, Denoising Filters and Applications
Applications and Challenges of Cloud Integrated IoMT
Optimal SVM Based Brain Tumor MRI Image Classification in Cloud Internet of Medical Things
An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems
Automated Internet of Medical Things (IoMT) Based Healthcare Monitoring System
Deep Belief Network Based Healthcare Monitoring System in IoMT
An IoMT Assisted Heart Disease Diagnostic System Using Machine Learning Techniques
QoS Optimization in Internet of Medical Things for Sustainable Management
An Intelligent Internet of Medical Things with Deep Learning Based Automated Breast Cancer Detection and Classification Model
Internet of Medical Things (IoMT) Enabled Skin Lesion Detection and Classification Using Optimal Segmentation and Restricted Boltzmann Machines
An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection