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2003.01109
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Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
1 March 2020
Li Xiao
Cheng Zhu
Junjun Liu
Chunlong Luo
Peifang Liu
Yi Zhao
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Papers citing
"Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography"
3 / 3 papers shown
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
IEEE Reviews in Biomedical Engineering (RBME), 2023
Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
463
115
0
13 Apr 2023
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Gonglei Shia
Li Xiaoa
Yang Chenb
Kevin Zhou
204
16
0
08 Jul 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Dong Wang
Krzysztof J. Geras
331
191
0
13 Feb 2020
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