no code implementations • 23 Apr 2024 • Sunan He, Yuxiang Nie, Zhixuan Chen, Zhiyuan Cai, Hongmei Wang, Shu Yang, Hao Chen
The rapid advancement of large-scale vision-language models has showcased remarkable capabilities across various tasks.
no code implementations • 27 Feb 2024 • Li Lin, Yixiang Liu, Jiewei Wu, Pujin Cheng, Zhiyuan Cai, Kenneth K. Y. Wong, Xiaoying Tang
In such context, we propose a novel personalized FL framework with learnable prompt and aggregation (FedLPPA) to uniformly leverage heterogeneous weak supervision for medical image segmentation.
no code implementations • 19 May 2023 • Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang
To address these issues, we propose a prior guided multi-task transformer framework for joint OD/OC segmentation and fovea detection, named JOINEDTrans.
no code implementations • 2 Jul 2022 • Huanhui Cao, Zhiyuan Cai, Hairuo Wei, Wenjie Lu, Lin Zhang, Hao Xiong
Reinforcement Learning (RL) algorithms show amazing performance in recent years, but placing RL in real-world applications such as self-driven vehicles may suffer safety problems.
no code implementations • 9 Mar 2022 • Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang
We employ a Unified Patch Embedding module to replace the origin patch embedding module in ViT for jointly processing both 2D and 3D input images.
1 code implementation • 1 Mar 2022 • Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang
At the coarse stage, we obtain the OD/OC coarse segmentation and the heatmap localization of fovea through a joint segmentation and detection module.
1 code implementation • 11 Jan 2022 • Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang
In this paper, we propose an efficient multi-modality supervised contrastive learning framework, named COROLLA, for glaucoma grading.