Picture for Zhenbing Liu

Zhenbing Liu

A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification

Dec 27, 2022
Huadeng Wang, Zhipeng Liu, Rushi Lan, Zhenbing Liu, Xiaonan Luo, Xipeng Pan, Bingbing Li

Figure 1 for A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification

Figure 2 for A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification

Figure 3 for A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification

Figure 4 for A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification

* 19 pages,11 figures, 4 tables

Access Paper or Ask Questions

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Apr 14, 2022
Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu

Figure 1 for WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Figure 2 for WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Figure 3 for WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Figure 4 for WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Access Paper or Ask Questions

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Sep 15, 2020
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P S, Densen Puthussery, Jiji C V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

Figure 1 for AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Figure 2 for AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Figure 3 for AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Figure 4 for AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Access Paper or Ask Questions