Cover Image

Gaze into the Details: Locality-Sensitive Enhancement for OCTA Retinal Vessel Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Tuopusen, Ma, Ding, Wu, Xiangqian
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
by: Huang, Cheng, et al.
Published: (2025)

OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
by: Xiao, Peng, et al.
Published: (2022)

Quantitative Characterization of Retinal Features in Translated OCTA
by: Badhon, Rashadul Hasan, et al.
Published: (2024)

Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
by: Chen, Xinrun, et al.
Published: (2024)

Vessel-Aware Deep Learning for OCTA-Based Detection of AMD
by: Mitzner, Margalit G., et al.
Published: (2026)

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
by: Dong, Xuanzhao, et al.
Published: (2025)

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
by: Wittmann, Bastian, et al.
Published: (2024)

Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation
by: Wei, Qijie, et al.
Published: (2024)

Region Guided Attention Network for Retinal Vessel Segmentation
by: Javed, Syed, et al.
Published: (2024)

SAM-OCTA2: Layer Sequence OCTA Segmentation with Fine-tuned Segment Anything Model 2
by: Chen, Xinrun, et al.
Published: (2024)

Retinal Vessel Segmentation via Neuron Programming
by: Wu, Tingting, et al.
Published: (2024)

Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation
by: Fadugba, Jeremiah, et al.
Published: (2025)

WMKA-Net: A Weighted Multi-Kernel Attention Network for Retinal Vessel Segmentation
by: Xu, Xinran, et al.
Published: (2025)

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
by: Thrasher, Jacob, et al.
Published: (2024)

Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
by: Fhima, Jonathan, et al.
Published: (2025)

Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
by: Wang, Hongqiu, et al.
Published: (2024)

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
by: Ouyang, Yihao, et al.
Published: (2025)

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
by: Li, Shuhan, et al.
Published: (2023)

Universal Vessel Segmentation for Multi-Modality Retinal Images
by: Wen, Bo, et al.
Published: (2025)

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning
by: Wei, Xinxu, et al.
Published: (2024)

SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation
by: Guo, Changlu, et al.
Published: (2025)

MDFI-Net: Multiscale Differential Feature Interaction Network for Accurate Retinal Vessel Segmentation
by: Dong, Yiwang, et al.
Published: (2024)

DB-KAUNet: An Adaptive Dual Branch Kolmogorov-Arnold UNet for Retinal Vessel Segmentation
by: Xu, Hongyu, et al.
Published: (2025)

VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes
by: DiSanto, Nick, et al.
Published: (2026)

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
by: Wang, Lehan, et al.
Published: (2025)

Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets
by: R, Amarnath
Published: (2026)

VFGS-Net: Frequency-Guided State-Space Learning for Topology-Preserving Retinal Vessel Segmentation
by: Song, Ruiqi, et al.
Published: (2026)

Full-scale Representation Guided Network for Retinal Vessel Segmentation
by: Seo, Sunyong, et al.
Published: (2025)

Automated Localization of Blood Vessels in Retinal Images
by: Safarzadeh, Vahid Mohammadi
Published: (2023)

Identification via Retinal Vessels Combining LBP and HOG
by: Noori, Ali
Published: (2022)

TFFM: Topology-Aware Feature Fusion Module via Latent Graph Reasoning for Retinal Vessel Segmentation
by: Ahmed, Iftekhar, et al.
Published: (2026)

WaveRNet: Wavelet-Guided Frequency Learning for Multi-Source Domain-Generalized Retinal Vessel Segmentation
by: Wang, Chanchan, et al.
Published: (2026)

Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation
by: Zeng, Shuang, et al.
Published: (2025)

ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach
by: Rodrigues, Erick O., et al.
Published: (2026)

AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation
by: Hu, Dewei, et al.
Published: (2024)

Robust Multi-Disease Retinal Classification via Xception-Based Transfer Learning and W-Net Vessel Segmentation
by: Gholizadeh, Mohammad Sadegh, et al.
Published: (2025)

MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
by: Liu, Jiawen, et al.
Published: (2025)

LFA-Net: A Lightweight Network with LiteFusion Attention for Retinal Vessel Segmentation
by: Mehmood, Mehwish, et al.
Published: (2025)

SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
by: Yu, Chongkai, et al.
Published: (2024)

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
by: Fadugba, Jeremiah, et al.
Published: (2024)