no code implementations • 18 Feb 2024 • Jian Wang, Xin Yang, Xiaohong Jia, Wufeng Xue, Rusi Chen, Yanlin Chen, Xiliang Zhu, Lian Liu, Yan Cao, Jianqiao Zhou, Dong Ni, Ning Gu
In this study, we proposed a multi-view contrastive self-supervised method to improve thyroid nodule classification and segmentation performance with limited manual labels.
no code implementations • 16 Aug 2023 • Han Zhou, Dong Ni, Ao Chang, Xinrui Zhou, Rusi Chen, Yanlin Chen, Lian Liu, Jiamin Liang, Yuhao Huang, Tong Han, Zhe Liu, Deng-Ping Fan, Xin Yang
Second, to better preserve the integrity and textural information of US images, we implemented a dual-decoder that decouples the content and textural features in the generator.
no code implementations • 3 Mar 2023 • Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Yanlin Chen, Jilu Zhao, Yan Hu, Jiang Liu
Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency modeling.
1 code implementation • 25 Apr 2022 • Zhishe Wang, Yanlin Chen, Wenyu Shao, Hui Li, Lei Zhang
The existing deep learning fusion methods mainly concentrate on the convolutional neural networks, and few attempts are made with transformer.
1 code implementation • 29 Mar 2022 • Zhishe Wang, Wenyu Shao, Yanlin Chen, Jiawei Xu, Xiaoqin Zhang
The existing generative adversarial fusion methods generally concatenate source images and extract local features through convolution operation, without considering their global characteristics, which tends to produce an unbalanced result and is biased towards the infrared image or visible image.
no code implementations • 25 Oct 2021 • Yanlin Chen, Ronald de Wolf
Lasso and Ridge are important minimization problems in machine learning and statistics.
1 code implementation • 18 Jun 2021 • Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, YiXuan Wang, Yanlin Chen, Leye Wang, Man Huang
To address this issue, we propose a novel semi-supervised transfer learning framework based on optimal transport theory and self-paced ensemble for Sepsis early detection, called SPSSOT, which can efficiently transfer knowledge from the source hospital (with rich labeled data) to the target hospital (with scarce labeled data).
no code implementations • 21 Jun 2020 • Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Katie Driggs Campbell
Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad interests from researchers.