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Books > Medicine > General issues > Medical equipment & techniques
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Computational Methods and Deep Learning for Ophthalmology (Paperback)
Loot Price: R3,388
Discovery Miles 33 880
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Computational Methods and Deep Learning for Ophthalmology (Paperback)
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Computational Methods and Deep Learning for Ophthalmology presents
readers with the concepts and methods needed to design and use
advanced computer-aided diagnosis systems for ophthalmologic
abnormalities in the human eye. Chapters cover computational
approaches for diagnosis and assessment of a variety of
ophthalmologic abnormalities. Computational approaches include
topics such as Deep Convolutional Neural Networks, Generative
Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and
modified/hybrid Artificial Neural Networks. Ophthalmological
abnormalities covered include Glaucoma, Diabetic Retinopathy,
Macular Degeneration, Retinal Vein Occlusions, eye lesions,
cataracts, and optical nerve disorders. This handbook provides
biomedical engineers, computer scientists, and multidisciplinary
researchers with a significant resource for addressing the increase
in the prevalence of diseases such as Diabetic Retinopathy,
Glaucoma, and Macular Degeneration.
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