Picture for Dayong Wang

Dayong Wang

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

Figure 1 for Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Figure 2 for Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Figure 3 for Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Figure 4 for Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/

Access Paper or Ask Questions

Face Search at Scale: 80 Million Gallery

Jul 28, 2015
Dayong Wang, Charles Otto, Anil K. Jain

Figure 1 for Face Search at Scale: 80 Million Gallery

Figure 2 for Face Search at Scale: 80 Million Gallery

Figure 3 for Face Search at Scale: 80 Million Gallery

Figure 4 for Face Search at Scale: 80 Million Gallery

* 14 pages, 16 figures

Access Paper or Ask Questions

A Framework of Sparse Online Learning and Its Applications

Jul 25, 2015
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi

Figure 1 for A Framework of Sparse Online Learning and Its Applications

Figure 2 for A Framework of Sparse Online Learning and Its Applications

Figure 3 for A Framework of Sparse Online Learning and Its Applications

Figure 4 for A Framework of Sparse Online Learning and Its Applications

* 13 pages, 14 figures

Access Paper or Ask Questions