Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network
Songhui Diao
(1)
,
Yinli Tian
(1)
,
Wanming Hu
(2)
,
Jiaxin Hou
(1)
,
Ricardo Lambo
(1)
,
Zhicheng Zhang
(3)
,
Yaoqin Xie
(1)
,
Xiu Nie
(4)
,
Fa Zhang
(5)
,
Daniel Racoceanu
(6, 7, 8)
,
Wenjian Qin
(1)
1
SIAT -
Shenzhen Institute of Advanced Technology [Shenzhen]
2 SYSUCC - Sun Yat-sen University Cancer Center
3 Stanford University
4 HUST - Huazhong University of Science and Technology [Wuhan]
5 ICT - CAS Institute of Computing Technology
6 SU - Sorbonne Université
7 ARAMIS - Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]
8 ICM - Institut du Cerveau = Paris Brain Institute
2 SYSUCC - Sun Yat-sen University Cancer Center
3 Stanford University
4 HUST - Huazhong University of Science and Technology [Wuhan]
5 ICT - CAS Institute of Computing Technology
6 SU - Sorbonne Université
7 ARAMIS - Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]
8 ICM - Institut du Cerveau = Paris Brain Institute
Wanming Hu
- Function : Author
- PersonId : 827580
- ORCID : 0000-0002-3632-1258
Ricardo Lambo
- Function : Author
- PersonId : 827581
- ORCID : 0000-0002-5926-177X
Daniel Racoceanu
- Function : Author
- PersonId : 739345
- IdHAL : daniel-racoceanu
- ORCID : 0000-0002-9416-1803
- IdRef : 158147839
Wenjian Qin
- Function : Author
- PersonId : 1142385