Diabetic retinopathy (DR) is widely recognized as a leading cause of blindness among
individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …

This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in
the context of Machine Learning. Our focus is on Electroencephalography (EEG) research …

Diabetic retinopathy (DR) is a common early diabetic complication and one of the main
causes of blindness. In clinical diagnosis and treatment, regular screening with fundus …

Deep neural network has achieved promising results for automatic glaucoma detection on
fundus images. Nevertheless, the intrinsic discrepancy across glaucoma datasets is …

Retinal diseases are the leading causes of vision temporary or permanent loss. Precise
retinal disease grading is a prerequisite for early intervention or specific therapeutic …

Diabetic retinopathy (DR) is currently considered to be one of the most common diseases
that cause blindness. However, DR grading methods are still challenged by the presence of …

Edge computing has been considered as a leading paradigm to satisfy the low latency
demand for some computation-intensive or data-intensive applications, especially for IIoT …

Accurate diabetic retinopathy (DR) grading is crucial for making the proper treatment plan to
reduce the damage caused by vision loss. This task is challenging due to the fact that the …

Diabetic retinopathy (DR) is a common complication of diabetes mellitus (DM), and it is
necessary to diagnose DR in the early stages of treatment. With the rapid development of …

An essential complication of the diabetes disease is termed as Diabetic Retinopathy (DR),
and it leads visual impairment in long-term vision. In general, DR is a kind of eye disease …