Offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis
Teaches how ML and DL algorithms are applied to a broad range of application areas, including chest x-ray, breast CAD, lung and chest, microscopy, and pathology and so forth
Covers common research problems in medical image analysis and their challenges
Focusses on aspects of deep learning and machine learning for combating COVID-19
Includes pertinent case studies
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Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
62 Tables, black and white; 73 Line drawings, black and white; 46 Halftones, black and white; 119 Illustrations, black and white
ISBN-13
978-1-003-80570-0 (9781003805700)
Schlagworte
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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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 Piaui, 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.
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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