[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) …

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 …

Drg-net: interactive joint learning of multi-lesion segmentation and classification for diabetic retinopathy grading

HM Tusfiqur, DMH Nguyen, MTN Truong… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement

Y Zhou, MC Xu, Y Hu, SB Blumberg, A Zhao… - Medical Image …, 2024 - Elsevier
Characterising clinically-relevant vascular features, such as vessel density and fractal
dimension, can benefit biomarker discovery and disease diagnosis for both ophthalmic and …

Learning to address intra-segment misclassification in retinal imaging

Y Zhou, M Xu, Y Hu, H Lin, J Jacob, PA Keane… - … Image Computing and …, 2021 - Springer
Accurate multi-class segmentation is a long-standing challenge in medical imaging,
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 …

[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 …

Improving U-Net architecture and graph cuts optimization to classify arterioles and venules in retina fundus images

NT Binh, NM Hien, DT Tin - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
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 …

Deep learning: step forward to high‐resolution in vivo shortwave infrared imaging

VA Baulin, Y Usson, X Le Guével - Journal of biophotonics, 2021 - Wiley Online Library
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 …

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 …