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Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection


Apr 07, 2021
Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng

* 11 pages 

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Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images


Apr 07, 2021
Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng

* 11 pages of main text, 2 pages of supplementary materials 

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OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays


Apr 07, 2021
Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Pheng

* 11 pages of main text, 2 pages of supplementary materials. code will be available at https://github.com/LLYXC/OXnet 

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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification


Oct 13, 2020
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Hen

* Accepted at Medical Image Analysis. Code: https://github.com/EmmaW8/RMDL 

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Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation


Jul 21, 2020
Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng

* to appear at MICCAI2020, supplementary material attached 

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PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis


May 03, 2019
Zixu Zhao, Huangjing Lin, Hao Chen, Pheng Ann Heng


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Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning


Aug 13, 2017
Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng

* Accepted to MICCAI 2017 

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ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images


Jul 30, 2017
Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng


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