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Mendeley readers
Chapter title |
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
|
---|---|
Chapter number | 20 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
Published by |
Springer, Cham, September 2021
|
DOI | 10.1007/978-3-030-87237-3_20 |
Book ISBNs |
978-3-03-087236-6, 978-3-03-087237-3
|
Authors |
Li, Hang, Yang, Fan, Zhao, Yu, Xing, Xiaohan, Zhang, Jun, Gao, Mingxuan, Huang, Junzhou, Wang, Liansheng, Yao, Jianhua |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 4 | 12% |
Researcher | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 32% |
Engineering | 3 | 9% |
Mathematics | 2 | 6% |
Decision Sciences | 1 | 3% |
Unspecified | 1 | 3% |
Other | 0 | 0% |
Unknown | 16 | 47% |