Results 21 to 30 of about 1,385,547 (382)

Retinal Blood Vessels Segmentation using Fréchet PDF and MSMO Method [PDF]

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Blood vessels of retina contain information about many severe diseases like glaucoma, hypertension, obesity, diabetes etc. Health professionals use this information to detect and diagnose these diseases.
Sushil Kumar saroj, Rakesh Kumar, Nagendra Pratap Singh   +2 more
doaj   +2 more sources

Optimized U-net model for precise retinal blood vessel segmentation from colour fundus images [PDF]

Scientific Reports
Retinal blood vessels segmentation plays significant role in the detection and diagnosing of various eye diseases viz. diabetic retinopathy, glaucoma, and hypertensive retinopathy. This paper presents a deep learning-based novel approach to the automated
Jegan Sivaraman, Arjun Paramarthalingam, Arulnancy Thirunavukkarasu, Asokan Vasudevan, Soon Eu Hui, Duraimurugan Samiayya   +5 more
doaj   +2 more sources

DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images.

PLoS ONE, 2021
In this era, deep learning-based medical image analysis has become a reliable source in assisting medical practitioners for various retinal disease diagnosis like hypertension, diabetic retinopathy (DR), arteriosclerosis glaucoma, and macular edema etc ...
Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A U Khan, Mui-Zzud- Din   +7 more
doaj   +2 more sources

Assessment of the impact of low-density lipoprotein cholesterol on retinal vessels using optical coherence tomography angiography. [PDF]

Lipids Health Dis
He Y, Qin MZ, Cao K, Zhang YP, Jiao X, Zhang Z, Wang GH, Liu Q, Liu Q, Ma JB, Jiang X, Guo CX.   +11 more
europepmc   +3 more sources

Artificial Intelligence in Ophthalmology: A Meta-Analysis of Deep Learning Models for Retinal Vessels Segmentation. [PDF]

J Clin Med, 2020
Background and Objective: Accurate retinal vessel segmentation is often considered to be a reliable biomarker of diagnosis and screening of various diseases, including cardiovascular diseases, diabetic, and ophthalmologic diseases.
Islam MM, Poly TN, Walther BA, Yang HC, Li YJ.   +4 more
europepmc   +2 more sources

Functional and morphological changes of the retinal vessels in Alzheimer's disease and mild cognitive impairment. [PDF]

Sci Rep, 2019
Imaging and histopathological studies have demonstrated that structural changes of the retina affect subjects with Alzheimer’s disease (AD) or mild cognitive impairment (MCI). The aim of this study was to quantitatively investigate the retinal vessels in
Querques G, Borrelli E, Sacconi R, De Vitis L, Leocani L, Santangelo R, Magnani G, Comi G, Bandello F.   +8 more
europepmc   +2 more sources

Biometric System for Person Authentication Using Retinal Vascular Branching Pattern

Jurnal Ilmu Komputer dan Informasi, 2023
The person’s retina has its uniqueness that can be used as biometric recognition. The use of the retina as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Diana Tri Susetianingtias, Sarifuddin Madenda, Rodiah, Rini Arianty   +3 more
doaj   +1 more source

Contrast enhancement for improved blood vessels retinal segmentation using top-hat transformation and otsu thresholding

IJAIN (International Journal of Advances in Intelligent Informatics), 2022
Diabetic Retinopathy is a effect of diabetes. It results abnormalities in the retinal blood vessels. The abnormalities can cause blurry vision and blindness.
Muhammad Arhami, Anita Desiani, Sugandi Yahdin, Ajeng Islamia Putri, Rifkie Primartha, Husaini Husaini   +5 more
doaj   +1 more source

Retinal microglia protect against vascular damage in a mouse model of retinopathy of prematurity

Frontiers in Pharmacology, 2022
Retinopathy of prematurity (ROP) is a common cause of blindness in preterm babies. As a hypoxia-induced eye disease characterized by neovascularization, its association with retinal microglia has been noted but not well documented.
Jin Liu, Jessica Kwan Wun Tsang, Frederic Khe Cheong Fung, Sookja Kim Chung, Zhongjie Fu, Amy Cheuk Yin Lo   +5 more
doaj   +1 more source

Improved fully convolutional neuron networks on small retinal vessel segmentation using local phase as attention

Frontiers in Medicine, 2023
Retinal images have been proven significant in diagnosing multiple diseases such as diabetes, glaucoma, and hypertension. Retinal vessel segmentation is crucial for the quantitative analysis of retinal images.
Xihe Kuang, Xiayu Xu, Leyuan Fang, Ehsan Kozegar, Huachao Chen, Yue Sun, Fan Huang, Tao Tan, Tao Tan   +8 more
doaj   +1 more source