Automated Image Detection of Retinal Pathology, 1st ed. 2010

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Automated Image Detection of Retinal Pathology 2010
Herbert Jelinek and Michael J. Cree
ISBN-10: 0849375568
ISBN-13: 978-0849375569




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.





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