The following publications are possibly variants of this publication:
- Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image AnalysisXi Wang, Hao Chen 0011, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng. tcyb, 50(9):3950-3962, 2020. [doi]
- Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide ImagesMaosong Cao, Manman Fei, Jiangdong Cai, Luyan Liu, Lichi Zhang, Qian Wang. miccai 2023: 243-252 [doi]
- A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide imagesZeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng 0001, Deyu Meng, Chen Li 0032. mia, 83:102652, 2023. [doi]
- Registration-enhanced multiple instance learning for cervical cancer whole slide image classificationQiming He, Chengjiang Wang, Siqi Zeng, Zhendong Liang, Hufei Duan, Jingying Yang, Feiyang Pan, Yonghong He, Wenting Huang, Tian Guan. imst, 34(1), January 2024. [doi]
- Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive LearningXin Zhang, Maosong Cao, Sheng Wang, Jiayin Sun, Xiangshan Fan, Qian Wang, Lichi Zhang. miccai 2022: 202-211 [doi]