1st Edition

Smart Medical Imaging for Diagnosis and Treatment Planning

Edited By Nilanjan Dey, Bitan Misra, Sayan Chakraborty Copyright 2025
258 Pages 47 B/W Illustrations
by Chapman & Hall

258 Pages 47 B/W Illustrations
by Chapman & Hall

258 Pages 47 B/W Illustrations
by Chapman & Hall

This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search... Read more

Part I: Introduction

1.     Enhancing Intelligent Medical Imaging to Revolutionize Healthcare

Sayan Chakraborty, Bitan Misra and Muhammad Firoz Mridha

Part II: Impact of AI in Healthcare, Medical Diagnosis and Treatment

2.     Role of AI for Smart Health Diagnosis and Treatment

Priyanka Gupta and Manoj Kumar Pandey

3.     Different Smart Diagnosis Processes of Alzheimer's Brain Disease Using AI Techniques

Nivedita Manohar Mathkunti and Shanta Rangaswamy

4.     Impact of Artificial Intelligence in Healthcare: Predictors of Multiple Sclerosis

Abhirup Bhattacharya and Zdzislaw Polkowski

Part III: Medical Imaging Technologies and Their Applications in Diagnosis and Treatment

5.     Enhancing Patient Care with Modality-Based Image Registration in Modern Healthcare

Abhisek Roy, Pranab Kanti Roy, Anirban Mitra, Paramita Kundu Maji, Sraddha Roy Choudhury, Sheng-Lung Peng

6.     Fashionable and disposable electrochemical sensors as modern healthcare appliance

Pranabi Maji and Shrabani Mondal

Part IV: Infectious diseases detection and treatment planning

7.     Smart healthcare systems in combating infectious diseases outbreaks

Maheswata Moharana, Prakash Chandra Maharana, Fahmida Khan and Subrat Kumar Pattanayak

8.     Facemask and Handgloves Detection using Hybrid Deep Learning Model.

Akash Das, Dwaipayan Mistry, Raj Kamal, Sabyasachi Ganguly and Sanjay Chakraborty

Part V: Machine learning in medical diagnosis and treatment planning

9.     Utilization of Machine Learning and Deep Learning Classifiers in Predicting Users’ Performance in Augmented Reality Surgical Environments: A Comparative Analysis

Hamza Ghandorh

Part VI: Use and regulation of digital health technologies in healthcare

10.  The Future of Medical Imaging: Ensuring Ethical and Legal Compliance.

Soubhik Acharya and Priti Paul

Biography

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.

Bitan Misra is currently working as an Assistant Professor, in Dept. of CSE, Techno International New Town, Kolkata, India. She received her B. Tech and M. Tech dual degree in Electronics and Telecommunication Engineering from KIIT University, Bhubaneswar, India in 2018. She received her Ph.D. in 2022 from National Institute of Technology, Durgapur, India. She received a Gold Medal during her UG for securing the highest CGPA in the university. She has published almost 15 research papers in various international journals and conferences and has three copyrights. Her main research interests include optimization techniques, deep learning, evolutionary algorithms and soft computing techniques. She has worked as a reviewer in several national and international journals and conferences. She is an Associate Editor of International Journal of Ambient Computing and Intelligence, IGI Global.  She is a member of IEEE and Internet Society.

Sayan Chakraborty is currently working as a Assistant Professor in the Department of Computer Science and Engineering at the Techno International New Town, West Bengal, India. He has completed his Ph.D. in Image registration from Sikkim Manipal University in the year 2023. He has completed M.Tech from Computer Science & Engineering, JIS College of Engineering. He also completed his B. Tech. from the same college. He has academic experience of 10 years. His research area includes digital image processing, nature inspired algorithms and machine learning. He has about 65 research papers published in international journals, book chapters and conferences on various topics such as optimization, artificial intelligence, pattern recognition and digital image processing. He has 1 book published in Springer. He is an Associate Editor of International Journal of Ambient Computing and Intelligence, IGI Global and Editorial Board member of International Journal of Rough Sets and Data Analysis (IJRSDA) , IGI Global. He is a senior member of IEEE.