most citedSAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Tasks

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2024

Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation

Xinrun Chen, Mei Shen, Haojian Ning +3

Segmenting specific targets or structures in optical coherence tomography angiography (OCTA) images is fundamental for conducting further pathological studies. The retinal vascular…

eess.IV2023★ 1 cited

An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset

Haojian Ning, Chengliang Wang, Xinrun Chen +1

Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels. In this work, we propose an accurate and efficie…