Computational Methods and Deep Learning for Ophthalmology (Paperback)

Computational Methods and Deep Learning for Ophthalmology By D. Jude Hemanth (Editor) Cover Image
By D. Jude Hemanth (Editor)
$170.00

Description


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.



Product Details
ISBN: 9780323954150
ISBN-10: 0323954154
Publisher: Academic Press
Publication Date: February 24th, 2023
Pages: 250
Language: English