Advancements in Communication and Systems
Artificial Intelligence and Deep Learning-Based System Design for Diabetic Retinopathy Classification
Authors: K. H. Gudadhe
Publishing Date: 24-01-2024
ISBN: 978-81-955020-7-3
Abstract
Diabetic retinopathy (DR) is a serious eye disease that may lead to blindness and mostly affects diabetics. Damage to the macula is caused by DR in the retina’s blood arteries, which leads to irregular blood flow and blood spills across the retina. The retinal tissue expands, making it difficult to see clearly. Diabetic retinopathy manifests first as microaneurysms (MAs), which are small, blood vessel dilations that look like little red sacs. Red dots of varying sizes appear on the retina when DR has progressed to this point. Third, Exudates (EXs) appear as tiny, yellowish-white deposits within the eye due to leaking fluid and proteins from damaged retinal capillaries. If DR is diagnosed and treated before permanent vision loss occurs, it may be possible to prevent it. AI is an innovative technology on par with the Internet and the electrification of the world. Because of the infinite capabilities of artificial intelligence and digital image processing technologies, timely and individualised health treatment is now within reach for people of all ages. An abundance of new medical images are now available for study and diagnosis because to the rapid expansion of medical imaging technologies. Artificial intelligence has made possible new breakthroughs in medicine.
Keywords
Artificial Intelligence, Diabetic Retinopathy (DR), ExudatesMedical imaging, Micro aneurysm
Cite as
K. H. Gudadhe, "Artificial Intelligence and Deep Learning-Based System Design for Diabetic Retinopathy Classification", In: Ashish Kumar Tripathi and Vivek Shrivastava (eds), Advancements in Communication and Systems, SCRS, India, 2024, pp. 161-168. https://doi.org/10.56155/978-81-955020-7-3-15