Peer-reviewedCC BYSensors (Basel, Switzerland)
HiRNet: A Hierarchical-Refinement-Guided Hybrid Retinal Vessel Segmentation Network for Smartphone-Based Fundus Images
- 1School of Computer Science and Technology/School of Artificial Intelligence, , Xuzhou 221116, China; (Y.Y.);
- 2School of Information and Control Engineering, , Xuzhou 221116, China
- 3Nankai University Eye Institute, , Tianjin 300350, China
Related
- VesselRegNet: Multi-Scale Feature Fusion Network for Multi-Modal Joint Retinal Vessel Segmentation and Registration
- RCNet: A Hybrid Network Adapted for OCTA Retinal Capillary Segmentation.
- Retinal layer thickness prediction from smartphone fundus imaging for early glaucoma detection
- Automated Segmentation of Retinal Pigment Epithelium Layers in High-Resolution OCT
- Cross-Dataset Generalization of Deep Learning for Retinal Vessel Segmentation in Fundus Images: External Evaluation from DRIVE to CHASE_DB1
BibTeX
@article{yin2026hirnet,
title = {{HiRNet: A Hierarchical-Refinement-Guided Hybrid Retinal Vessel Segmentation Network for Smartphone-Based Fundus Images}},
author = {Yuqing Yin and Liang Niu and Suyan Li and Yifan Mu and Xiao Xu and Yan Wang},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13667450},
note = {CC BY},
}
RIS
TY - JOUR
TI - HiRNet: A Hierarchical-Refinement-Guided Hybrid Retinal Vessel Segmentation Network for Smartphone-Based Fundus Images
AU - Yuqing Yin
AU - Liang Niu
AU - Suyan Li
AU - Yifan Mu
AU - Xiao Xu
AU - Yan Wang
PY - 2026
DA - 2026/09/30
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13667450
SN - 1424-8220
ER -