Diabetic retinopathy prediction based on vision transformer and modified capsule network.

Diabetic retinopathy is considered one of the most common diseases that can lead to blindness in the working age, and the chance of developing it increases as long as a person suffers from diabetes. Protecting the sight of the patient or decelerating the evolution of this disease depends on its early detection as well as identifying the exact levels of this pathology, which is done manually by ophthalmologists. This manual process is very consuming in terms of the time and experience of an expert ophthalmologist, which makes developing an automated method to aid in the diagnosis of diabetic retinopathy an essential and urgent need.

Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network.

Diabetic retinopathy (DR) is one of the most common consequences of diabetes. It affects the retina, causing blood vessel damage which can lead to loss of vision. Saving patients from losing their sight or at least slowing the progress of this disease depends mainly on the early detection of this pathology, on top of the detection of its specific stage.

[Impact of the SARS-CoV-2 pandemic on diabetic macular edema and prognostic factors].

Purpose: To assess functional and anatomical consequences of the delay in intravitreal injections for diabetic macular edema (DME) patients during the corona virus pandemic lockdown in Morocco as well as to evaluate factors associated with disease progression.

Patients And Methods: This cross-sectional study included DME patients who did not complete their scheduled intravitreal bevacizumab injections during the Lockdown period (March 20, 2020 to May 20, 2020). Data recorded included age, duration of diabetes, number of previous intravitreal injections, best-corrected visual acuity, and central macular thickness before and after the lockdown.