The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …

Type 2 diabetes is a chronic metabolic disease that affects a significant portion of the
worldwide people. Prediction of this disease using different machine learning (ML) based …

Diabetic Retinopathy affects one-third of all diabetic patients and may cause vision
impairment. It has four stages of progression, ie, mild non-proliferative, moderate non …

It has been shown in recent years that a range of optical diseases have early manifestation
in retinal fundus images. It is becoming increasingly important to separate the regions of …

Diabetic retinopathy is one of the significant investigated topics in the last few years since
blindness could be the outcome of unchecked and serious diabetic retinopathy cases …

The main objective of this paper is to predict Diabetic Retinopathy (DR) using Novel
Decision Tree (DT) in comparison with Support Vector Machine (SVM). Prediction of …

Diabetes is a global health challenge that requires early detection for effective management.
This study integrates Automated Machine Learning (AutoML) with Explainable Artificial …

Nuclear Cataract is a common eye disease that generally occurs at elder age. But if it's not
detected at its earlier state, then it may affect vision and can live permanently. In this work, to …

Diabetic Retinopathy (DR) is a disease that is caused by long term diabetes mellitus, which
causes lesions on the retina that impact vision. If it is not detected early, it could lead to …

Long-term exposure to diabetes mellitus leads to the formation of diabetic retinopathy (DR),
which can cause vision loss in working-age adults. Early stage diagnosis of DR is highly …