Healthcare Industry 4.0: Computer Vision-Aided Data Analytics

This book provides an overview of computer vision-based applications in the digital healthcare industry 4.0, covering techniques such as image classification, segmentation, and object detection. It also includes case studies from various domains and applications, such as tumor detection, cancer detection, COVID-19, and patient monitoring. The book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

Format: Hardback
Length: 168 pages
Publication date: 28 August 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of computer vision-based applications in the digital healthcare industry 4.0, encompassing a wide range of computer vision techniques, image classification, image segmentations, and object detection. Through a series of captivating application case studies drawn from diverse domains such as science, engineering, and social networking, readers are introduced to the architecture and technological advancements that underpin these applications. The book explores how these applications leverage cutting-edge technologies like edge computing and cloud computing to enhance their performance and scalability. Furthermore, it delves into the critical applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.

Key Features:

Provides a comprehensive and up-to-date overview of computer vision applications in the digital healthcare industry 4.0
Reviews the latest advances in computer vision and data science technologies for analyzing human function and disability
Offers practical implementation of computer vision applications using the latest tools and software
Explores computer vision-enabled medical/clinical data security in the cloud
Includes case studies from leading computer vision integrated vendors such as Amazon, Microsoft, IBM, and Google

Target Audience:

This book is designed for researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering. It serves as a valuable resource for those seeking to explore the potential of computer vision in healthcare and advance their knowledge in this field.

Weight: 420g
Dimension: 161 x 243 x 18 (mm)
ISBN-13: 9781032385150