The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …

The widespread presence of micro (nano) plastics (MNPs) in the environment threatens
ecosystem integrity, and thus it is necessary to determine and assess the occurrence …

In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a
critical yet challenging task, primarily due to the complex nature of retinal images. The …

The complexities inherent in diagnosing papilledema, particularly within the realm of neuro-
ophthalmology, emphasize the pressing need for sophisticated diagnostic methodologies …

Retinal blood vessel segmentation is a valuable tool for clinicians to diagnose conditions
such as atherosclerosis, glaucoma, and age-related macular degeneration. This paper …

A unique method for improving the intelligent agents in retinal image processing is the
proposed RAUGAN (Residual Attention UNet GAN) model. Reliability, accuracy, and …

Background Many ophthalmic disorders such as diabetic retinopathy and hypertension can
be early diagnosed by analyzing changes related to the vascular structure of the retina …

The early diagnosis of diabetic retinopathy (DR) can effectively prevent irreversible vision
loss and assist ophthalmologists in providing timely and accurate treatment plans. However …

Myopia is a common ocular disease that affects large populations in the world. This disease
can lead to visual impairment due to the development of different types of myopic …