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Author:   Ben Othman Soufiene (University of Gabes, Tunisia) ,  Chinmay Chakraborty (School of Electronics Engineering, KIIT Deemed to be University, India)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.500kg
ISBN:  

9781032432212

ISBN 10:   1032432217
Pages:   258
Publication Date:   26 May 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Medical Image Detection and Recognition Using Machine Learning and Deep Learning 2 Multiple Lung Disease Prediction Using X-Ray Images Based on Deep Convolutional Neural Networks 3 Analysis of Machine Learning and Deep Learning in Health Informatics, and Their Application 4 Automated Acute Lymphoblastic Leukemia Detection Using Blood Smear Image Analysis 5 Smart Digital Healthcare Solutions Using Medical Imaging and Advanced AI Techniques 6 Efficient and Fast Lung Disease Predictor Model 7 Artificial Intelligence Used to Recognize Fetal Planes Based on Ultrasound Scans during Pregnancy 8 Artificial Intelligence Techniques for Cancer Detection from Medical Images 9 Handling Segmentation and Classification Problems in Deep Learning for Identification of Interstitial Lung Disease 10 Computer Vision Approaches in Radiograph Image Analysis: A Targeted Review of Current Progress, Challenges, and Future Perspective 11 Deep Learning Methods for Brain Tumor Segmentation 12 Face Mask Detection and Temperature Scanning for the COVID-19 Surveillance System Based on Deep Learning Models 13 Diabetic Disease Prediction Using Machine Learning Models and Algorithms for Early Classification and Diagnosis Assessment 14 Defeating Alzheimer's: AI Perspective from Diagnostics to Prognostics: Literature Summary

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Author Information

Ben Othman Soufiene was Assistant Professor of computer science at the University of Gabes, Tunisia, from 2016 to 2021. He received his PhD in computer science from Manouba University in 2016 for his dissertation on secure data aggregation in wireless sensor networks. He also earned an MS from Monastir University in 2012. His research interests focus on the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. Chinmay Chakraborty is Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Postdoctoral Fellow of the Federal University of Piauí, Brazil. His primary areas of research include wireless body area networks, Internet of Medical Things (IoMT), point-of-care diagnosis, mHealth/e-health, and medical imaging. Chakraborty is the co-editor of many books on Smart IoMT, healthcare technology, and sensor data analytics.

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