A systematic review on physiological-based biometric recognition systems: current and future trends
Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …
physiological traits. This article presents recent advances in physiological-based biometric …
Retinal structure detection in OCTA image via Voting-Based Multitask learning
Automated detection of retinal structures, such as retinal vessels (RV), the foveal avascular
zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understanding …
zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understanding …
Retinal vascular junction detection and classification via deep neural networks
Abstract Background and Objectives The retinal fundus contains intricate vascular trees,
some of which are mutually intersected and overlapped. The intersection and overlapping of …
some of which are mutually intersected and overlapped. The intersection and overlapping of …
An o-shape neural network with attention modules to detect junctions in biomedical images without segmentation
Y Zhang, M Liu, F Yu, T Zeng… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Junction plays an important role in biomedical research such as retinal biometric
identification, retinal image registration, eye-related disease diagnosis and neuron …
identification, retinal image registration, eye-related disease diagnosis and neuron …
Msc-net: multitask learning network for retinal vessel segmentation and centerline extraction
L Pan, Z Zhang, S Zheng, L Huang - Applied Sciences, 2021 - mdpi.com
Automatic segmentation and centerline extraction of blood vessels from retinal fundus
images is an essential step to measure the state of retinal blood vessels and achieve the …
images is an essential step to measure the state of retinal blood vessels and achieve the …
Detection of optic disc in human retinal images utilizing the Bitterling Fish Optimization (BFO) algorithm
Early detection and correct identification of the optic disc (OD) on scanned retinal images
are significant for diagnosing and treating several ophthalmic conditions, including …
are significant for diagnosing and treating several ophthalmic conditions, including …
An edge thinning algorithm based on newly defined single‐pixel edge patterns
L Ren, X Wang, N Wang, G Zhang, Y Li… - IET Image …, 2023 - Wiley Online Library
To improve the uniformity of one‐pixel width and continuity of the thinned edges, this paper
proposes an edge thinning algorithm acting on grey‐scale edge images based on 24 self …
proposes an edge thinning algorithm acting on grey‐scale edge images based on 24 self …
Automated retinal blood vessel feature extraction in digital fundus images
ZH Nasiruddin, WMDW Zaki… - … in Engineering and …, 2022 - ieeexplore.ieee.org
The retinal microvascular network manifests the well-being of other systems and organs as
they are structurally and physiologically similar. It offers a unique window to assess …
they are structurally and physiologically similar. It offers a unique window to assess …
[PDF][PDF] An integrated fundus image segmentation algorithm for multiple eye ailments
░ ABSTRACT-The detection of eye illnesses requires a thorough inspection of all of the
eye's structures. Most significantly, the presence of blood vessels, an optical disc, and any …
eye's structures. Most significantly, the presence of blood vessels, an optical disc, and any …
Detection and classification of multi-scale retinal junctions using region-based CNN
LK Pampana, MS Rayudu - Signal, Image and Video Processing, 2022 - Springer
Arteriovenous nicking (AVN) is a prominent biomarker in assessing cardiac risk factors such
as hypertension, atherosclerosis and coronary artery diseases. The retinal junctions play a …
as hypertension, atherosclerosis and coronary artery diseases. The retinal junctions play a …