Computational Methods and Deep Learning for Ophthalmology Paperback / softback
Edited by D. Jude (Professor, ECE Department, Karunya Institute of Technology and Sciences, Coimbator Hemanth
Paperback / softback
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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.
Information
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Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:250 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/02/2023
- Category:
- ISBN:9780323954150
£131.00
£97.35
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:250 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/02/2023
- Category:
- ISBN:9780323954150