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Deep Learning and Diabetic Retinopathy by Rajiv Raman

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Healthcare Data Analysis Courses Machine Learning Courses Clinical Practice Courses Biomedicine Courses

Course Description

Overview

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Explore the intersection of deep learning and diabetic retinopathy in this informative lecture. Gain insights into how advanced machine learning techniques are being applied to detect and analyze retinal abnormalities associated with diabetes. Learn about the potential of deep learning algorithms to improve early diagnosis and management of diabetic retinopathy, a leading cause of vision loss. Discover the challenges and opportunities in developing accurate and efficient AI-powered screening tools for this condition. Understand the impact of these technological advancements on ophthalmology and patient care in the context of the broader "Machine Learning for Health and Disease" program.

Syllabus

Deep learning and Diabetic Retinopathy by Rajiv Raman


Taught by

International Centre for Theoretical Sciences

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