2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2021★ 1 cited
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
Fahman Saeed, Muhammad Hussain, Hatim A Aboalsamh +2
The prevalence of diabetic retinopathy (DR) has reached 34.6% worldwide and is a major cause of blindness among middle-aged diabetic patients. Regular DR screening using fundus pho…
eess.IV2021★ 2 cited
A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Norah Asiri, Muhammad Hussain, Fadwa Al Adel
Red-lesions, microaneurysms (MAs) and hemorrhages (HMs), are the early signs of diabetic retinopathy (DR). The automatic detection of MAs and HMs on retinal fundus images is a chal…