no code implementations • 30 Mar 2024 • Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang
However, they still neglect the following two points: (1) The content semantic is a universal world knowledge; how do we extract the multi-aspect semantic information to empower different domains?
1 code implementation • 17 Nov 2023 • Can Li, Sheng Shao, Junyi Qu, Shuchao Pang, Mehmet A. Orgun
However, due to the fact that medical image annotation requires a great deal of manpower and expertise, as well as the fact that clinical departments perform image annotation based on task orientation, there is the problem of having fewer medical image annotation data with more unlabeled data and having many datasets that annotate only a single organ.
1 code implementation • 18 Apr 2023 • Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong
In this paper, we propose a Data and Knowledge Co-driving (D&K) model to replicate the process of cancer subtype classification on a histopathological slide like a pathologist.
no code implementations • 29 Jul 2022 • Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu
Automatic tumor or lesion segmentation is a crucial step in medical image analysis for computer-aided diagnosis.
no code implementations • 8 May 2020 • Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhemei Yu
To mitigate this shortcoming, we propose a novel group equivariant segmentation framework by encoding those inherent symmetries for learning more precise representations.