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

1 code implementation • 28 Apr 2024 • Xinrun Chen, Mei Shen, Haojian Ning, Mengzhan Zhang, Chengliang Wang, Shiying Li

In this paper, we thus study how to use OCTA images with projection vascular layers to segment retinal structures.

SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation

2 code implementations • 11 Oct 2023 • Xinrun Chen, Chengliang Wang, Haojian Ning, Shiying Li, Mei Shen

The method fine-tunes a pre-trained segment anything model (SAM) using low-rank adaptation (LoRA) and utilizes prompt points for local RVs, arteries, and veins segmentation in OCTA.

Image Segmentation Segmentation +1

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

1 code implementation • 21 Sep 2023 • Chengliang Wang, Xinrun Chen, Haojian Ning, Shiying Li

In the analysis of optical coherence tomography angiography (OCTA) images, the operation of segmenting specific targets is necessary.

Image Segmentation Segmentation +1

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

1 code implementation • 18 Sep 2023 • Haojian Ning, Chengliang Wang, Xinrun Chen, Shiying Li

Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels.

Efficient Neural Network Retinal Vessel Segmentation