Computational Methods and Deep Learning for Ophthalmology explores the integration of artificial intelligence, deep learning, and computational techniques in the field of eye care and vision science. Edited by Dr. D. Jude Hemanth, this book focuses on how machine learning and advanced computational tools are revolutionizing ophthalmic diagnostics, disease prediction, image analysis, and clinical decision-making. It provides researchers, clinicians, and postgraduate students with insights into the latest applications of AI in ophthalmology.
Key Points:
Covers AI and deep learning applications in ophthalmology.
Focuses on diagnostics, image processing, and disease prediction.
Highlights machine learning models for retinal and ocular diseases.
Discusses clinical decision support systems powered by AI.
Suitable for researchers, postgraduate students, and eye specialists.
Bridges the gap between computational methods and clinical practice.
