Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition

Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition

Diabetic Retinopathy (DR) is one of the leading causes of blindness and vision loss worldwide. According to the International Diabetes Federation (IDF), approximately one-third of individuals with diabetes, equivalent to 32.2%, are affected by some form of DR. Due to the uneven data distr...

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Bibliographic Details
Main Authors: Huma Naz, Rahul Nijhawan, Neelu Jyothi Ahuja, Shaha Al-Otaibi, Tanzila Saba, Saeed Ali Bahaj, Amjad Rehman
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Diabetic retinopathy detection
imbalance data
ensembled GAN
healthcare
health risks
Online Access:https://ieeexplore.ieee.org/document/10296890/

Internet

https://ieeexplore.ieee.org/document/10296890/

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