553 citations
- Beihang UniversityCN66 papers
- Microsoft Research Asia (China)CN12 papers
- Chinese Academy of SciencesCN9 papers
- Tsinghua UniversityCN6 papers
- National Cheng Kung UniversityTW4 papers
- University of Chinese Academy of SciencesCN4 papers
- Institute of SoftwareCN3 papers
- Zhejiang UniversityCN3 papers
- CAS Key Laboratory of Quantum Information, USTCCN2 papers
- Nankai UniversityCN2 papers
- State Key Laboratory of Computer Science2 papers
- State Key Laboratory of Low-Dimensional Quantum Physics2 papers
Showing 2017 · cs.CVShow all
2 papers · 2 filters
cs.CV2017★ 110 cited
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric I-Chao Chang +3
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation,…
cs.CV2017★ 200 cited
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang +1
In this paper, we develop a new weakly-supervised learning algorithm to learn to segment cancerous regions in histopathology images. Our work is under a multiple instance learning…