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Cognitive Internet of Medical Things for Smart Healthcare

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Table of Contents

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    Book Overview
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    Chapter 1 A Review of Applications, Security and Challenges of Internet of Medical Things
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    Chapter 2 IoT Enabled Technology in Secured Healthcare: Applications, Challenges and Future Directions
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    Chapter 3 A Comparative Analysis of Image Denoising Problem: Noise Models, Denoising Filters and Applications
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    Chapter 4 Applications and Challenges of Cloud Integrated IoMT
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    Chapter 5 Optimal SVM Based Brain Tumor MRI Image Classification in Cloud Internet of Medical Things
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    Chapter 6 An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems
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    Chapter 7 Automated Internet of Medical Things (IoMT) Based Healthcare Monitoring System
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    Chapter 8 Deep Belief Network Based Healthcare Monitoring System in IoMT
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    Chapter 9 An IoMT Assisted Heart Disease Diagnostic System Using Machine Learning Techniques
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    Chapter 10 QoS Optimization in Internet of Medical Things for Sustainable Management
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    Chapter 11 An Intelligent Internet of Medical Things with Deep Learning Based Automated Breast Cancer Detection and Classification Model
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    Chapter 12 Internet of Medical Things (IoMT) Enabled Skin Lesion Detection and Classification Using Optimal Segmentation and Restricted Boltzmann Machines
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    Chapter 13 An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection
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Title
Cognitive Internet of Medical Things for Smart Healthcare
Published by
Springer International Publishing, November 2020
DOI 10.1007/978-3-030-55833-8
ISBNs
978-3-03-055832-1, 978-3-03-055833-8
Editors

Hassanien, Aboul Ella, Khamparia, Aditya, Gupta, Deepak, Shankar, K., Slowik, Adam

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