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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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