Diabetic retinopathy (DR) is the leading cause of permanent blindness in the working-age
population. And automatic DR diagnosis can assist ophthalmologists to design tailored …

Diabetic retinopathy (DR) is a microvascular disorder that causes retinal damage and
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …

Diabetic Retinopathy (DR) is one of the long-lasting Diabetic retinal disorders that leads to
vision impairment eventually blindness in most of the working-age population. The process …

Recently, academic and clinical communities have paid increasing attention to design
computer-aided diagnosis methods for automatic and accurate diabetic retinopathy (DR) …

Abstract Background and Objective At present, the COVID-19 epidemic is still spreading
worldwide and wearing a mask in public areas is an effective way to prevent the spread of …

Recently, solving ordinal classification problems using machine learning and deep learning
techniques has acquired important attention. There are many real-world problems in …

Diabetic Retinopathy (DR), one of the most progressive sight-threatening diseases caused
by the long-term diabetic condition, can lead to vision impairment and blindness later. Early …

Recently, the attention mechanism has been effectively implemented in convolutional neural
networks to boost performance of several computer vision tasks. Recognizing the potential …

Automated grading of diabetic retinopathy (DR) is an important means for assisting clinical
diagnosis and preventing further retinal damage. However, imbalances and similarities …

Despite the great success of deep learning approaches, retinal disease classification is still
challenging as the early-stage pathological regions of retinal diseases may be extremely …