{"product_id":"computational-methods-and-deep-learning-for-ophthalmology-9780323954150","title":"Computational Methods and Deep Learning for Ophthalmology","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe book Computational Methods and Deep Learning for Ophthalmology provides readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities. It covers computational approaches such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified\/hybrid Artificial Neural Networks, and discusses ophthalmological abnormalities such as Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 250 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 24 February 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Elsevier Science \u0026amp; Technology\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eComputational Methods and Deep Learning for Ophthalmology is a comprehensive handbook that delves into the realm of designing and utilizing advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye. This invaluable resource provides readers with the essential concepts and methodologies required to develop cutting-edge systems capable of accurately identifying and evaluating a wide range of ophthalmic conditions.\u003cbr\u003e\u003cbr\u003eThe book is organized into chapters that cover computational approaches for diagnosing and assessing various ophthalmologic abnormalities. These computational approaches encompass a diverse range of topics, including Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified\/hybrid Artificial Neural Networks. By exploring these diverse techniques, the book offers a comprehensive understanding of the state-of-the-art methods employed in the field of ophthalmology.\u003cbr\u003e\u003cbr\u003eThe scope of ophthalmological abnormalities covered in this handbook is extensive, encompassing a wide range of conditions such as Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. Each chapter provides in-depth explanations of these abnormalities, their underlying causes, and the diagnostic challenges associated with them. By presenting a comprehensive overview of these conditions, the handbook serves as a valuable resource for biomedical engineers, computer scientists, and multidisciplinary researchers seeking to address the increasing prevalence of diseases such as Diabetic Retinopathy, Glaucoma, and Macular Degeneration.\u003cbr\u003e\u003cbr\u003eIn addition to its theoretical foundations, Computational Methods and Deep Learning for Ophthalmology offers practical insights and implementation details. The book provides step-by-step instructions on how to develop and evaluate computational models for ophthalmologic diagnosis, utilizing real-world datasets and state-of-the-art algorithms. By offering practical guidance, the handbook empowers readers to apply these methodologies to their own research and development efforts, fostering innovation and progress in the field of ophthalmology.\u003cbr\u003e\u003cbr\u003eWith its extensive coverage, comprehensive insights, and practical implementation details, Computational Methods and Deep Learning for Ophthalmology is an indispensable resource for anyone interested in advancing the field of ophthalmology. Whether you are a researcher, clinician, or student, this handbook will provide you with the knowledge and tools needed to design and implement advanced computer-aided diagnosis systems for ophthalmologic abnormalities. By leveraging the power of computational methods and deep learning, we can strive towards improving the detection, treatment, and overall outcomes of ophthalmic diseases.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 516g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 191 x 234 x 21 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780323954150\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44128516997370,"sku":"9780323954150","price":120.85,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1679474029324_book.jpg?v=1679899756","url":"https:\/\/shulphink.com\/products\/computational-methods-and-deep-learning-for-ophthalmology-9780323954150","provider":"Shulph Ink","version":"1.0","type":"link"}