The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …

Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses
and appropriate treatments. Single disease-based deep learning algorithms had been …

Diabetic Retinopathy is the most prevalent cause of avoidable vision impairment, mainly
affecting the working-age population in the world. Recent research has given a better …

Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …

Importance Deep learning is a family of computational methods that allow an algorithm to
program itself by learning from a large set of examples that demonstrate the desired …

The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …

Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …

The Messidor database, which contains hundreds of eye fundus images, has been publicly
distributed since 2008. It was created by the Messidor project in order to evaluate automatic …

Diabetic retinopathy is a leading cause of blindness among working-age adults. Early
detection of this condition is critical for good prognosis. In this paper, we demonstrate the …