Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …

This work explores the possibility of applying edge machine learning technology in the
context of portable medical image diagnostic systems. This was done by evaluating the …

In recent years, the introduction of high-speed, more accurate, and fewer non invasive
technologies has ushered in a new era in Medical Imaging. Diabetic retinopathy is one of all …

针对摩托车头盔佩戴检测准确率低和检测速率慢的问题, 提出一种基于YOLOv5s
的改进摩托车头盔检测算法. 首先, 在YOLOv5s 的多尺度特征检测中增加浅层检测尺度和4 …

Artificial Intelligence and deep learning models have evolved rapidly in the last decade and
successfully applied to face recognition, autonomous driving, satellite imaging, robotics, and …

Diabetic retinopathy can be defined as an eye disease that occurs specifically in diabetic
patients and results in damaging the small blood vessels of the retina because of high and …

Diabetic Eye Disease (DED) is a serious retinal illness that affects diabetics. The timely
identification and precise categorization of multi-class DED within retinal fundus images play …

A well-known eye disorder called diabetic retinopathy (DR) is linked to elevated blood
glucose levels. Cotton wool spots, confined veins in the cranial nerve, AV nicking, and …

Diabetic Retinopathy (DR) evaluations are increasingly being automated using artificial
intelligence. Diabetes-related retinal vascular disease is a major cause of blindness and …

This study aims to propose a novel deep learning framework, ie, efficient DenseNet, for
identifying diabetic retinopathy severity levels in retinal images. Diabetic retinopathy is an …