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Artificial intelligence in retinal image analysis: Development, advances, and challenges
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 …
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 …
diabetic retinopathy (DR). Nonetheless, our understanding of its pathogenic mechanisms …
An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images
Algorithms for retinal vessel segmentation are powerful tools in automatic tracking systems
for early detection of ophthalmological and cardiovascular diseases, and for biometric …
for early detection of ophthalmological and cardiovascular diseases, and for biometric …
Retinal vessel segmentation: An efficient graph cut approach with retinex and local phase
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 …
understanding of the disease mechanism, diagnosis and treatment of retinal and a number …
Unsupervised retinal vessel segmentation using combined filters
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 …
diagnose cardiovascular related diseases, such as hypertension and diabetes, which are …
Perspectives of diabetic retinopathy—challenges and opportunities
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 …
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
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 …
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 …
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 …
degree of retinopathy and diagnose other systemic diseases. However, the structure of the …
A pipeline to evaluate inhibitors of the Pseudomonas aeruginosa exotoxin U
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 …
(WHO) as a major threat with high priority for the development of new therapies. In severe P …