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Automated Image Detection of Retinal Pathology (Paperback)
Loot Price: R2,329
Discovery Miles 23 290
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Automated Image Detection of Retinal Pathology (Paperback)
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Discusses the Effect of Automated Assessment Programs on Health
Care Provision Diabetes is approaching pandemic numbers, and as an
associated complication, diabetic retinopathy is also on the rise.
Much about the computer-based diagnosis of this intricate illness
has been discovered and proven effective in research labs. But,
unfortunately, many of these advances have subsequently failed
during transition from the lab to the clinic. So what is the best
way to diagnose and treat retinopathy? Automated Image Detection of
Retinal Pathology discusses the epidemiology of the disease, proper
screening protocols, algorithm development, image processing, and
feature analysis applied to the retina. Conveys the Need for Widely
Implemented Risk-Reduction Programs Offering an array of
informative examples, this book analyzes the use of automated
computer techniques, such as pattern recognition, in analyzing
retinal images and detecting diabetic retinopathy and its
progression as well as other retinal-based diseases. It also
addresses the benefits and challenges of automated health care in
the field of ophthalmology. The book then details the increasing
practice of telemedicine screening and other advanced applications
including arteriolar-venous ratio, which has been shown to be an
early indicator of cardiovascular, diabetes, and cerebrovascular
risk. Although tremendous advances have been made in this complex
field, there are still many questions that remain unanswered. This
book is a valuable resource for researchers looking to take retinal
pathology to that next level of discovery as well as for clinicians
and primary health care professionals that aim to utilize automated
diagnostics as part of their health care program.
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