Search Results for author: Chengliang Wang

Found 6 papers, 3 papers with code

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

2 code implementations11 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 implementation21 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 implementation18 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

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework

no code implementations16 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.

Federated Learning

PoTrojan: powerful neural-level trojan designs in deep learning models

no code implementations8 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.

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