A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators
F Ghislain, ST Beaudelaire, T Daniel - Computers in Biology and Medicine, 2024 - Elsevier
Background Many ophthalmic disorders such as diabetic retinopathy and hypertension can
be early diagnosed by analyzing changes related to the vascular structure of the retina …
be early diagnosed by analyzing changes related to the vascular structure of the retina …
Automated pancreas segmentation and volumetry using deep neural network on computed tomography
Pancreas segmentation is necessary for observing lesions, analyzing anatomical structures,
and predicting patient prognosis. Therefore, various studies have designed segmentation …
and predicting patient prognosis. Therefore, various studies have designed segmentation …
A multi-scale directional line detector for retinal vessel segmentation
The assessment of transformations in the retinal vascular structure has a strong potential in
indicating a wide range of underlying ocular pathologies. Correctly identifying the retinal …
indicating a wide range of underlying ocular pathologies. Correctly identifying the retinal …
Diabetic Retinopathy Detection Using Local Extrema Quantized Haralick Features with Long Short‐Term Memory Network
Diabetic retinopathy is one of the leading diseases affecting eyes. Lack of early detection
and treatment can lead to total blindness of the diseased eyes. Recently, numerous …
and treatment can lead to total blindness of the diseased eyes. Recently, numerous …
Medical image enhancement based on CLAHE and unsharp masking in NSCT domain
L Li, Y Si, Z Jia - Journal of Medical Imaging and Health …, 2018 - ingentaconnect.com
In this paper, a novel medical image enhancement algorithm is proposed. The structure of
the paper is as follows: Firstly, the input image is processed with the Contrast-limited …
the paper is as follows: Firstly, the input image is processed with the Contrast-limited …
Deep learning-assisted retinopathy of prematurity (ROP) screening
Retinopathy of prematurity (ROP) is a leading cause of blindness in premature infants
worldwide, particularly in developing countries. In this research, we propose a Deep …
worldwide, particularly in developing countries. In this research, we propose a Deep …
A comprehensive review of artificial intelligence models for screening major retinal diseases
This paper provides a systematic survey of artificial intelligence (AI) models that have been
proposed over the past decade to screen retinal diseases, which can cause severe visual …
proposed over the past decade to screen retinal diseases, which can cause severe visual …
[PDF][PDF] Contrast enhancement for improved blood vessels retinal segmentation using top-hat transformation and otsu thresholding.
The retina is a crucial part on the human body. Diabetic Retinopathy (DR) is Changes in the
structure of the eye's retina are a sign of a disease, such as Diabetic Retinopathy (DR)[1] …
structure of the eye's retina are a sign of a disease, such as Diabetic Retinopathy (DR)[1] …
[HTML][HTML] MC-DMD: A data-driven method for blood vessel enhancement in retinal images using morphological closing and dynamic mode decomposition
S Madathil, SK Padannayil - Journal of King Saud University-Computer and …, 2022 - Elsevier
Detection of blood vessels in retinal images is an important step in any computer-aided
pathological system for the early screening and detection of eye-related ailments such as …
pathological system for the early screening and detection of eye-related ailments such as …