Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Retinal vessel segmentation, a review of classic and deep methods
A Khandouzi, A Ariafar, Z Mashayekhpour… - Annals of Biomedical …, 2022 - Springer
Retinal illnesses such as diabetic retinopathy (DR) are the main causes of vision loss. In the
early recognition of eye diseases, the segmentation of blood vessels in retina images plays …
early recognition of eye diseases, the segmentation of blood vessels in retina images plays …
R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation
U-Net is a widely adopted neural network in the domain of medical image segmentation.
Despite its quick embracement by the medical imaging community, its performance suffers …
Despite its quick embracement by the medical imaging community, its performance suffers …
Retinal vessel segmentation with skeletal prior and contrastive loss
The morphology of retinal vessels is closely associated with many kinds of ophthalmic
diseases. Although huge progress in retinal vessel segmentation has been achieved with …
diseases. Although huge progress in retinal vessel segmentation has been achieved with …
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
MRK Mookiah, S Hogg, TJ MacGillivray, V Prathiba… - Medical Image …, 2021 - Elsevier
The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
An unsupervised retinal vessel segmentation using hessian and intensity based approach
M Alhussein, K Aurangzeb, SI Haider - IEEE Access, 2020 - ieeexplore.ieee.org
The structure of blood vessels play a crucial role in diagnoses of the various vision
threatening diseases including Glaucoma and Diabetic Retinopathy (DR). The correct …
threatening diseases including Glaucoma and Diabetic Retinopathy (DR). The correct …
Hybrid deep learning network for vascular segmentation in photoacoustic imaging
AY Yuan, Y Gao, L Peng, L Zhou, J Liu… - Biomedical Optics …, 2020 - opg.optica.org
Photoacoustic (PA) technology has been used extensively on vessel imaging due to its
capability of identifying molecular specificities and achieving high optical-diffraction-limited …
capability of identifying molecular specificities and achieving high optical-diffraction-limited …
Multifilters-based unsupervised method for retinal blood vessel segmentation
Fundus imaging is one of the crucial methods that help ophthalmologists for diagnosing the
various eye diseases in modern medicine. An accurate vessel segmentation method can be …
various eye diseases in modern medicine. An accurate vessel segmentation method can be …
Blood vessel extraction in color retinal fundus images with enhancement filtering and unsupervised classification
Retinal blood vessels have a significant role in the diagnosis and treatment of various retinal
diseases such as diabetic retinopathy, glaucoma, arteriosclerosis, and hypertension. For this …
diseases such as diabetic retinopathy, glaucoma, arteriosclerosis, and hypertension. For this …
Blood vessel segmentation of retinal image using Clifford matched filter and Clifford convolution
The appearance and structure of blood vessels in retinal fundus image is a fundamental part
of diagnosing different issues related with such as diabetes and hypertension. The proposed …
of diagnosing different issues related with such as diabetes and hypertension. The proposed …