AIMC Topic: Retinal Vessels
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Artificial intelligence in OCT angiography.
Progress in retinal and eye research
Mar 22, 2021
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that provides three-dimensional, information-rich vascular images. With numerous studies demonstrating unique capabilities in biomarker quantification, diagnosis, and...
Lightweight pyramid network with spatial attention mechanism for accurate retinal vessel segmentation.
International journal of computer assisted radiology and surgery
Mar 22, 2021
PURPOSE: The morphological characteristics of retinal vessels are vital for the early diagnosis of pathological diseases such as diabetes and hypertension. However, the low contrast and complex morphology pose a challenge to automatic retinal vessel ...
Fast and efficient retinal blood vessel segmentation method based on deep learning network.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 16, 2021
The segmentation of the retinal vascular tree presents a major step for detecting ocular pathologies. The clinical context expects higher segmentation performance with a reduced processing time. For higher accurate segmentation, several automated met...
Deep Learning-Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model.
Journal of digital imaging
Mar 8, 2021
The diabetic retinopathy accounts in the deterioration of retinal blood vessels leading to a serious compilation affecting the eyes. The automated DR diagnosis frameworks are critically important for the early identification and detection of these ey...
Robust Content-Adaptive Global Registration for Multimodal Retinal Images Using Weakly Supervised Deep-Learning Framework.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Feb 25, 2021
Multimodal retinal imaging plays an important role in ophthalmology. We propose a content-adaptive multimodal retinal image registration method in this paper that focuses on the globally coarse alignment and includes three weakly supervised neural ne...
Modular machine learning for Alzheimer's disease classification from retinal vasculature.
Scientific reports
Jan 8, 2021
Alzheimer's disease is the leading cause of dementia. The long progression period in Alzheimer's disease provides a possibility for patients to get early treatment by having routine screenings. However, current clinical diagnostic imaging tools do no...
Hard Attention Net for Automatic Retinal Vessel Segmentation.
IEEE journal of biomedical and health informatics
Dec 4, 2020
Automated retinal vessel segmentation is among the most significant application and research topics in ophthalmologic image analysis. Deep learning based retinal vessel segmentation models have attracted much attention in the recent years. However, c...
ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach.
IEEE journal of biomedical and health informatics
Dec 4, 2020
Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities in diagnosis of these diseases ...
Deep Learning-Based Detection of Endothelial Tip Cells in the Oxygen-Induced Retinopathy Model.
Toxicologic pathology
Dec 2, 2020
Proliferative retinopathies, such as diabetic retinopathy and retinopathy of prematurity, are leading causes of vision impairment. A common feature is a loss of retinal capillary vessels resulting in hypoxia and neuronal damage. The oxygen-induced re...
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.
Medical image analysis
Nov 17, 2020
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 prime steps for the diagnosis and risk assessment of microvascular ...
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