| Autor: |
Dodani, Shruti N., Samantaray, Sarada |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3242 Issue 1, p1-8, 8p |
| Abstrakt: |
Early detection of fundus diseases is crucial because it can lead to timely intervention and treatment, potentially preserving or improving a patient's vision. Fundus diseases comprise a range of conditions such as diabetic retinopathy, age-related macular degeneration, glaucoma, retinal detachment, and various other serious diseases. "Diabetic retinopathy represents the prevalent microvascular complication of diabetes mellitus, while glaucoma stands as a prominent contributor to global irreversible blindness". India's Diabetes and hence diseases related to eye degeneration have forecast to increase. Researchers have various techniques to detect and predict Fundus Diseases by developing various Deep Learning and Machine Learning techniques. Some focus on the Diabetic Retinopathy while some focus on the Glaucoma. This study is being carried out to build deep learning models which focus on Diabetic Retinopathy. It incorporates the Image Dataset from different repositories to classify disease based on the grade. Study compares different Algorithms developed for Detection of the Diabetic Retinopathy [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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