1 code implementation • CVPR 2022 • Yonghang Guan, Jun Zhang, Kuan Tian, Sen yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
In this paper, we propose a hierarchical global-to-local clustering strategy to build a Node-Aligned GCN (NAGCN) to represent WSI with rich local structural information as well as global distribution.
no code implementations • 24 Nov 2020 • Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao
Artificial Intelligence (AI)-powered pathology is a revolutionary step in the world of digital pathology and shows great promise to increase both diagnosis accuracy and efficiency.
no code implementations • 15 Sep 2020 • Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han
Recently, artificial intelligence (AI) has been used in various disease diagnosis to improve diagnostic accuracy and reliability, but the interpretation of diagnosis results is still an open problem.
2 code implementations • 14 Aug 2019 • Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shan-Shan Wang
This function adds a weighted focal coefficient and combines two traditional loss functions.
no code implementations • 6 Jul 2018 • Yuanhong Xu, Pei Dong, Junyu Dong, Lin Qi
Obtaining dense 3D reconstrution with low computational cost is one of the important goals in the field of SLAM.