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Mendeley readers
Chapter title |
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
|
---|---|
Chapter number | 71 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59710-8_71 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng, Wu, Junde, Yu, Shuang, Chen, Wenting, Ma, Kai, Fu, Rao, Liu, Hanruo, Di, Xiaoguang, Zheng, Yefeng |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 27% |
Student > Master | 4 | 18% |
Student > Bachelor | 2 | 9% |
Professor | 1 | 5% |
Unknown | 9 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 32% |
Engineering | 2 | 9% |
Arts and Humanities | 1 | 5% |
Decision Sciences | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Other | 2 | 9% |
Unknown | 8 | 36% |