Human visual system-based fundus image quality assessment of portable fundus camera photographs

S Wang, K Jin, H Lu, C Cheng, J Ye… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Telemedicine and the medical “big data” era in ophthalmology highlight the use of non-
mydriatic ocular fundus photography, which has given rise to indispensable applications of …

Retinal image quality assessment based on image clarity and content

L Abdel-Hamid, A El-Rafei, S El-Ramly… - … of biomedical optics, 2016 - spiedigitallibrary.org
Retinal image quality assessment (RIQA) is an essential step in automated screening
systems to avoid misdiagnosis caused by processing poor quality retinal images. A no …

Automated quality assessment of fundus images via analysis of illumination, naturalness and structure

F Shao, Y Yang, Q Jiang, G Jiang, YS Ho - IEEE Access, 2017 - ieeexplore.ieee.org
In remote medical diagnosis, the percentage of poor-quality fundus images is very high,
which requires automated quality assessment of fundus images in the acquisition stage to …

Automatic Screening and Grading of Age‐Related Macular Degeneration from Texture Analysis of Fundus Images

TV Phan, L Seoud, H Chakor… - Journal of …, 2016 - Wiley Online Library
Age‐related macular degeneration (AMD) is a disease which causes visual deficiency and
irreversible blindness to the elderly. In this paper, an automatic classification method for …

Small sample color fundus image quality assessment based on gcforest

H Liu, N Zhang, S Jin, D Xu, W Gao - Multimedia Tools and Applications, 2021 - Springer
Color fundus image quality greatly influence the doctors' diagnostic accuracy. However, the
problems of imbalance data and small sample are the key issues of the color fundus images …

[图书][B] Visual quality assessment for natural and medical image

Y Ding - 2018 - Springer
With the rapid development of digital image and video acquisition, transmission, and display
techniques in the last few decades, the demands of high-quality images and videos are …

Multi-level quality assessment of retinal fundus images using deep convolution neural networks

SM Muddamsetty, TB Moeslund - 16th International Joint Conference on …, 2021 - vbn.aau.dk
Retinal fundus image quality assessment is one of the major steps in screening for retinal
diseases, sincethe poor-quality retinal images do not allow an accurate medical diagnosis …

No-reference quality index for color retinal images

L Abdel-Hamid, A El-Rafei, G Michelson - Computers in biology and …, 2017 - Elsevier
Retinal image quality assessment (RIQA) is essential to assure that the images investigated
by ophthalmologists or automatic systems are suitable for reliable medical diagnosis …

A CNN-based retinal image quality assessment system for teleophthalmology

X Wang, S Zhang, X Liang, C Zheng… - Journal of Mechanics …, 2019 - World Scientific
Oculopathy is a widespread disease among people of all ages around the world.
Teleophthalmology can facilitate the ophthalmological diagnosis for less developed …

No-reference wavelet based retinal image quality assessment

LA Hamid, A El-Rafei, S El-Ramly… - … vision and medical …, 2015 - books.google.com
Retinal Image Quality Assessment (RIQA) is an essential preliminarily step in Automatic
Retinal Screening Systems (ARSS) to avoid misdiagnosis of retinal disease. In this work, a …