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.
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.
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.
no code implementations • 16 Apr 2021 • Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
Asynchronous FL has a natural advantage in mitigating the straggler effect, but there are threats of model quality degradation and server crash.
no code implementations • 15 Apr 2021 • Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
In our framework, the server evaluates devices' value of training based on their training loss.
no code implementations • 8 Feb 2018 • Minhui Zou, Yang Shi, Chengliang Wang, Fangyu Li, WenZhan Song, Yu Wang
With the popularity of deep learning (DL), artificial intelligence (AI) has been applied in many areas of human life.