Results 261 to 270 of about 188,294 (288)

"ResNet-Powered Retinal Image Analysis"

Abstract— Diabetic Retinopathy (DR) is a serious eye condition caused by diabetes that can lead to vision loss if not detected early. Many people with diabetes do not show symptoms in the early stages of DR, which makes timely screening very important.
openaire   +1 more source

Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation

IEEE Transactions on Industrial Informatics, 2021
Xiang Li, Yuchen Jiang, Minglei Li
exaly  

Telemedical Diabetic Retinopathy Screening in a Primary Care Setting: Quality of Retinal Photographs and Accuracy of Automated Image Analysis

Ophthalmic Epidemiology, 2022
Maximilian W M Wintergerst, Markus Bleckwenn, Robert P Finger   +2 more
exaly  

Session MP2: Retinal image analysis

2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008
openaire   +1 more source

End-to-End Adversarial Retinal Image Synthesis

IEEE Transactions on Medical Imaging, 2018
Pedro Costa, Adrian Galdran, Maria Ines Meyer   +2 more
exaly  

Application of deep learning for retinal image analysis: A review

Computer Science Review, 2020
Muhammad Haris
exaly  

Analysis of Retinal Images Using Mathematical Morphology

1992
Jasiobedzki, P;, Taylor, CJ;
openaire   +2 more sources

The impact of breast cancer on sexuality, body image, and intimate relationships

Ca-A Cancer Journal for Clinicians, 1991
Leslie R Schover
exaly  

Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures

Journal of Anatomy, 2005
Niall Patton, Tariq Aslam, Baljean Dhillon   +2 more
exaly  

Computational Retinal Image Analysis

2019
openaire   +1 more source