no code implementations • 15 Apr 2024 • Fangwei Zhong, Kui Wu, Hai Ci, Churan Wang, Hao Chen
We evaluate our tracker on several high-fidelity environments with challenging situations, such as distraction and occlusion.
no code implementations • 14 Mar 2024 • Xinyu Xiong, Churan Wang, Wenxue Li, Guanbin Li
Accurate identification of breast masses is crucial in diagnosing breast cancer; however, it can be challenging due to their small size and being camouflaged in surrounding normal glands.
no code implementations • 21 Apr 2022 • Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
To resolve this problem, we propose a novel framework, namely Domain Invariant Model with Graph Convolutional Network (DIM-GCN), which only exploits invariant disease-related features from multiple domains.