Artificial intelligence in retinal image analysis: Development, advances, and challenges

AC Oganov, I Seddon, S Jabbehdari, OE Uner… - Survey of …, 2023 - Elsevier
Modern advances in diagnostic technologies offer the potential for unprecedented insight
into ophthalmic conditions relating to the retina. We discuss the current landscape of artificial …

Retinal ischaemia in diabetic retinopathy: understanding and overcoming a therapeutic challenge

AA Mohite, JA Perais, P McCullough… - Journal of Clinical …, 2023 - mdpi.com
Background: Retinal ischaemia is present to a greater or lesser extent in all eyes with
diabetic retinopathy (DR). Nonetheless, our understanding of its pathogenic mechanisms …

An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images

LC Neto, GLB Ramalho, JFSR Neto, RMS Veras… - Expert Systems with …, 2017 - Elsevier
Algorithms for retinal vessel segmentation are powerful tools in automatic tracking systems
for early detection of ophthalmological and cardiovascular diseases, and for biometric …

Retinal vessel segmentation: An efficient graph cut approach with retinex and local phase

Y Zhao, Y Liu, X Wu, SP Harding, Y Zheng - PloS one, 2015 - journals.plos.org
Our application concerns the automated detection of vessels in retinal images to improve
understanding of the disease mechanism, diagnosis and treatment of retinal and a number …

Unsupervised retinal vessel segmentation using combined filters

WS Oliveira, JV Teixeira, TI Ren, GDC Cavalcanti… - PloS one, 2016 - journals.plos.org
Image segmentation of retinal blood vessels is a process that can help to predict and
diagnose cardiovascular related diseases, such as hypertension and diabetes, which are …

Perspectives of diabetic retinopathy—challenges and opportunities

S Sivaprasad, S Sen, J Cunha-Vaz - Eye, 2023 - nature.com
Diabetic retinopathy (DR) may lead to vision-threatening complications in people living with
diabetes mellitus. Decades of research have contributed to our understanding of the …

Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning

K **, X Pan, K You, J Wu, Z Liu, J Cao, L Lou, Y Xu… - Scientific Reports, 2020 - nature.com
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection
and laser photocoagulation. As there is no comprehensive detection technique to recognize …

Optical coherence tomography angiography versus fluorescein angiography in the diagnosis of ischaemic diabetic maculopathy

G Cennamo, MR Romano, G Nicoletti… - Acta …, 2017 - Wiley Online Library
Purpose To evaluate the efficacy of optical coherence tomography (OCT) angiography
versus fluorescein angiography (FA) in terms of retinal vessel imaging in ischaemic diabetic …

Semi-supervised dual stream segmentation network for fundus lesion segmentation

D **ang, S Yan, Y Guan, M Cai, Z Li… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Accurate segmentation of retinal images can assist ophthalmologists to determine the
degree of retinopathy and diagnose other systemic diseases. However, the structure of the …

A pipeline to evaluate inhibitors of the Pseudomonas aeruginosa exotoxin U

DM Foulkes, K McLean, Y Zheng, J Sarsby… - Biochemical …, 2021 - portlandpress.com
Pseudomonas aeruginosa has recently been highlighted by the World Health Organisation
(WHO) as a major threat with high priority for the development of new therapies. In severe P …