The pipelines of approaches for classifying diabetic retinopathy were examined in this study.
The effort entails developing appropriate transformations and estimators that can be used to …

Diabetic retinopathy (DR) is a significant cause of vision impairment, emphasizing the critical
need for early detection and timely intervention to avert visual deterioration. Diagnosing DR …

Segmenting continuous curve structures is crucial in medical lesion analysis, crack
detection, and remote sensing image processing. Current semantic segmentation methods …

Hard exudate (HE) is a common manifestation of various eye diseases, such as diabetic
retinopathy (DR), and a prominent cause of vision loss and blindness. Researchers aim to …

Evolutionary computation (EC) based method for Neural Architecture Search (NAS) is a
thriving research field. Current NAS research typically focuses on concurrently searching for …

The precise segmentation of retinal vasculature is crucial for the early screening of various
eye diseases, such as diabetic retinopathy and hypertensive retinopathy. Given the complex …

Medical images captured through various imaging modalities are key to the diagnosis and
treatment of diseases, and these images serve as a major input to AI driven models but due …

The most common reason for blindness in working-age adults is diabetic retinopathy. The
World Health Organization (WHO) estimates that diabetic retinopathy affects about one-third …

Diabetic retinopathy, an ocular complication associated with diabetes, is a major cause of
vision loss if not treated early. This study aims to identify Diabetic Retinopathy using …

The global prevalence of diabetes is a significant health concern, affecting approximately
400 million people worldwide. Diabetes can lead to severe complications, including …