Healthcare Industry 4.0: Computer Vision-Aided Data Analytics

By:

Karthikeyan, P

By:

Publication details: New York: CRC Press, 2024Description: 166ISBN:

9781032385174

Subject(s):

DDC classification:

610.285 KAR

Summary: This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring. Features: Provides a state-of-the-art computer vision application in the digital health care industry Reviews advances in computer vision and data science technologies for analyzing information on human function and disability Includes practical implementation of computer vision application using recent tools and software Explores computer vision-enabled medical/clinical data security in the cloud Includes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and Google This book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

List(s) this item appears in: New Arrivals August 2025 -Business & Management

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode	Item holds
Reference Book	Alliance School of Business	610.285 KAR (Browse shelf(Opens below))	1	Not for loan		A29040

Total holds: 0

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This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.

Features:

Provides a state-of-the-art computer vision application in the digital health care industry
Reviews advances in computer vision and data science technologies for analyzing information on human function and disability
Includes practical implementation of computer vision application using recent tools and software
Explores computer vision-enabled medical/clinical data security in the cloud
Includes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and Google
This book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

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