FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images.

ABSTRACT: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are forms of degenerative retinal disorders that may result in vision impairment or even permanent blindness. Early detection of these conditions is essential to maintaining a patient's quality of life. The fundus photography technique is non-invasive, safe, and rapid way of assessing the function of the retina. It is widely used as a diagnostic tool for patients who suffer from fundus-related diseases. Using fundus images to analyze these two diseases is a challenging exercise, since there are rarely obvious features in the images during the incipient stages of the disease. In order to deal with these issues, we have proposed a deep learning method called FunSwin. The Swin Transformer constitutes the main framework for t

SUBMITTER: Yao Z 

PROVIDER: S-EPMC9358036 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature