Computerized retinal image analysis-a survey
K Mittal, VMA Rajam - Multimedia tools and Applications, 2020 - Springer
The speedy development of digital imaging and computer vision has extended the potential
of using these technologies in ophthalmology. Image processing systems are increasingly …
of using these technologies in ophthalmology. Image processing systems are increasingly …
Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive …
B Lalithadevi, S Krishnaveni - Concurrency and Computation …, 2022 - Wiley Online Library
Diabetes mellitus is a chronic disorder disease in which a person's body fails to adhere
insulin produced by their pancreas or unable to segregate enough insulin due to harmonic …
insulin produced by their pancreas or unable to segregate enough insulin due to harmonic …
Blood vessel segmentation in retinal fundus images for proliferative diabetic retinopathy screening using deep learning
Diabetic retinopathy (DR) is also called diabetic eye disease, which causes damage to the
retina due to diabetes mellitus and that leads to blindness when the disease reaches an …
retina due to diabetes mellitus and that leads to blindness when the disease reaches an …
An efficient and light weight deep learning model for accurate retinal vessels segmentation
K Aurangzeb, RS Alharthi, SI Haider… - IEEE Access, 2022 - ieeexplore.ieee.org
Detecting eye diseases early can make a difference when trying to treat them. Existing
diagnostic systems are not only prone to inaccurate judgments, but are also difficult and …
diagnostic systems are not only prone to inaccurate judgments, but are also difficult and …
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 …
Res2Unet: A multi-scale channel attention network for retinal vessel segmentation
Retinal diseases can be found timely by observing retinal fundus images. So extracting
blood vessels from retinal images is an important part because it is the way to show the …
blood vessels from retinal images is an important part because it is the way to show the …
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 …
A two-stage GAN for high-resolution retinal image generation and segmentation
In this paper, we use Generative Adversarial Networks (GANs) to synthesize high-quality
retinal images along with the corresponding semantic label-maps, instead of real images …
retinal images along with the corresponding semantic label-maps, instead of real images …
Curvelet Transform Based on Edge Preserving Filter for Retinal Blood Vessel Segmentation.
S Dash, S Verma, NZ Jhanjhi… - … Materials & Continua, 2022 - search.ebscohost.com
Segmentation of vessel in retinal fundus images is a primary step for the clinical
identification for specific eye diseases. Effective diagnosis of vascular pathologies from …
identification for specific eye diseases. Effective diagnosis of vascular pathologies from …
MTPA_Unet: Multi-scale transformer-position attention retinal vessel segmentation network joint transformer and CNN
Y Jiang, J Liang, T Cheng, X Lin, Y Zhang, J Dong - Sensors, 2022 - mdpi.com
Retinal vessel segmentation is extremely important for risk prediction and treatment of many
major diseases. Therefore, accurate segmentation of blood vessel features from retinal …
major diseases. Therefore, accurate segmentation of blood vessel features from retinal …