Peer-reviewedCC BYBioengineering (Basel, Switzerland)
VesselRegNet: Multi-Scale Feature Fusion Network for Multi-Modal Joint Retinal Vessel Segmentation and Registration
- 1School of Ophthalmology & Optometry, , Wenzhou 325000, China
- 2School of Data Science and Artificial Intelligence, , Wenzhou 325000, China
Related
- HiRNet: A Hierarchical-Refinement-Guided Hybrid Retinal Vessel Segmentation Network for Smartphone-Based Fundus Images
- An attention guided local global feature fusion network for robust point cloud registration
- F2D-RetinaNet: a feature-to-decision dual-path network with fractional operators for retinal disease detection and grading
- Hybrid feature pyramid attention and capsule network (FpaNet+CapsNet) for enhanced spatial and contextual feature extraction for improved brain tumor segmentation
- A hybrid CNN-transformer network with global-local context feature aggregation for lung medical image segmentation
BibTeX
@article{cao2026vesselregnet,
title = {{VesselRegNet: Multi-Scale Feature Fusion Network for Multi-Modal Joint Retinal Vessel Segmentation and Registration}},
author = {Anyu Cao and Maosong Jiang and Qinghong Gao and Xuelian Yang and Caiye Fan and Shu’an Liu and Zuoping Tan and Yuanyuan Wang},
journal = {Bioengineering (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13701772},
note = {CC BY},
}
RIS
TY - JOUR
TI - VesselRegNet: Multi-Scale Feature Fusion Network for Multi-Modal Joint Retinal Vessel Segmentation and Registration
AU - Anyu Cao
AU - Maosong Jiang
AU - Qinghong Gao
AU - Xuelian Yang
AU - Caiye Fan
AU - Shu’an Liu
AU - Zuoping Tan
AU - Yuanyuan Wang
PY - 2026
DA - 2026/10/01
JO - Bioengineering (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13701772
SN - 2306-5354
ER -