This code is designed for detecting Diabetic Retinopathy in retinal fundus images using a deep learning approach. It preprocesses the images, applies data augmentation to improve model generalization, ...

Abstract: Diabetic macular degeneration ... retinal blood vessels. Timely detection of HEs is crucial to prevent vision loss and ensure prompt treatment for DM patients. This study introduces a novel ...

[17] Vitreous: vitritis, haze Figure 6, hemorrhage, posterior vitreous detachment, pars planitis Figure 7 Retina: edema, macular edema especially cystoid type, yellow–white exudates Figure 8 ...

Breakthroughs in age-related macular degeneration (AMD) treatments have revolutionized the management of this progressive and potentially devastating eye disease. These include treatments such as ...

In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.

Age-related macular degeneration (AMD ... many ongoing studies are using artificial intelligence (AI) to scan retina images to try to find out. The goal is to train computers to recognize early ...

We propose two effective methods for OCT image classification, combining the strength of deep learning with sparse representation of significant image features for improved detection of retinal ...

Macular degeneration is a prevalent eye disorder that typically results in loss of vision in individuals who are 50 years of age and older. Although there isn’t a recognized cure for this ...