2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2023★ 2 cited
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Tasks
Chengliang Wang, Xinrun Chen, Haojian Ning +1
In the analysis of optical coherence tomography angiography (OCTA) images, the operation of segmenting specific targets is necessary. Existing methods typically train on supervised…
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…