Validation metrics are key for tracking scientific progress and bridging the current chasm
between artificial intelligence research and its translation into practice. However, increasing …

This study aimed to evaluate the image quality assessment (IQA) and quality criteria
employed in publicly available datasets for diabetic retinopathy (DR). A literature search …

Self-supervised Learning (SSL) has been widely applied to learn image representations
through exploiting unlabeled images. However, it has not been fully explored in the medical …

Diabetic Retinopathy (DR) is a chronic eye disease that is common in people who have had
diabetes for a long time. If the disease is not treated during the early stages, it leads to …

Diabetes can cause damage to the retina's blood vessels in the eye leading to diabetic
retinopathy (DR). The images captured using a fundus camera are used to segment and …

To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of
binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based …

The range of diabetics, hypertension, occlusions in vascular are rapidly increasing in the
modern era. Adversarial effects of these diseases are the organ damage which is increasing …

Diabetes retinopathy (DR) is a universal eye disease, which brings irreversible blindness
risks to patients in severe cases. Due to the scarcity of professional ophthalmologists, it has …

Background and objective Early detection and grading of Diabetic Retinopathy (DR) is
essential to determine an adequate treatment and prevent severe vision loss. However, the …

Purpose To assess the capabilities of Chat Generative Pre-trained Transformer (ChatGPT)
and Vertex AI in executing code-free preprocessing, training machine learning (ML) models …