[HTML][HTML] Automatic artery/vein classification using a vessel-constraint network for multicenter fundus images
J Hu, H Wang, Z Cao, G Wu, JB Jonas… - Frontiers in cell and …, 2021 - frontiersin.org
Retinal blood vessel morphological abnormalities are generally associated with
cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) …
cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) …
Retinal artery/vein classification by multi-channel multi-scale fusion network
J Yi, C Chen, G Yang - Applied Intelligence, 2023 - Springer
The automatic artery/vein (A/V) classification in retinal fundus images plays a significant role
in detecting vascular abnormalities and could speed up the diagnosis of various systemic …
in detecting vascular abnormalities and could speed up the diagnosis of various systemic …
Drg-net: interactive joint learning of multi-lesion segmentation and classification for diabetic retinopathy grading
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world, and early DR
detection is necessary to prevent vision loss and support an appropriate treatment. In this …
detection is necessary to prevent vision loss and support an appropriate treatment. In this …
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement
Characterising clinically-relevant vascular features, such as vessel density and fractal
dimension, can benefit biomarker discovery and disease diagnosis for both ophthalmic and …
dimension, can benefit biomarker discovery and disease diagnosis for both ophthalmic and …
Learning to address intra-segment misclassification in retinal imaging
Accurate multi-class segmentation is a long-standing challenge in medical imaging,
especially in scenarios where classes share strong similarity. Segmenting retinal blood …
especially in scenarios where classes share strong similarity. Segmenting retinal blood …
The joint learning of multi-resolution feature for multi-class retinal vessel segmentation
X Tang, H Chen, X Li, S Yang - Neurocomputing, 2024 - Elsevier
The task of multi-class vessel segmentation on retinal images is the basis for the
arteriovenous quantitative analysis, and plays an important role in the diagnosis and …
arteriovenous quantitative analysis, and plays an important role in the diagnosis and …
[HTML][HTML] A Novel Method for the Measurement of Retinal Arteriolar Bifurcation
G Dai, S Yu, S Hu, X Luan, H Yan, X Wang… - Ophthalmology and …, 2024 - Springer
Introduction The purpose of this research was to develop protocols for evaluating the
bifurcation parameters of retinal arteriole and establish a reference range of normal values …
bifurcation parameters of retinal arteriole and establish a reference range of normal values …
Improving U-Net architecture and graph cuts optimization to classify arterioles and venules in retina fundus images
The central retinal artery and its branches supply blood to the inner retina. Vascular
manifestations in the retina indirectly reflect the vascular changes and damage in organs …
manifestations in the retina indirectly reflect the vascular changes and damage in organs …
Deep learning: step forward to high‐resolution in vivo shortwave infrared imaging
Abstract Shortwave infrared window (SWIR: 1000–1700 nm) represents a major
improvement compared to the NIR‐I region (700–900 nm) in terms of temporal and spatial …
improvement compared to the NIR‐I region (700–900 nm) in terms of temporal and spatial …
Quantitative analysis of retinal vasculature for eye disease identification using deep learning
L Kandamkumarath, SB Shenoi… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
Non-invasive Medical imaging and diagnosis is one of the prime areas of medical research
these days. There exist many challenges in the field of eye care, especially treatment …
these days. There exist many challenges in the field of eye care, especially treatment …