You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training
|
---|---|
Chapter number | 7 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16443-9_7 |
Pubmed ID | |
Book ISBNs |
978-3-03-116442-2, 978-3-03-116443-9
|
Authors |
Liu, Xiaofeng, Xing, Fangxu, Shusharina, Nadya, Lim, Ruth, Jay Kuo, C.-C., El Fakhri, Georges, Woo, Jonghye |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 17% |
Researcher | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 8 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 25% |
Engineering | 1 | 8% |
Unknown | 8 | 67% |