Computational Methods and Deep Learning for Ophthalmology (Paperback)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Release date:	March 2023
First published:	2023
Editors:	D. Jude Hemanth
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	320
ISBN-13:	978-0-323-95415-0
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Promotions
LSN:	0-323-95415-4
Barcode:	9780323954150

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!