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Mendeley readers
Chapter title |
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
|
---|---|
Chapter number | 57 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32239-7_57 |
Book ISBNs |
978-3-03-032238-0, 978-3-03-032239-7
|
Authors |
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian Lovell, Li, Meng, Wu, Lin, Wiliem, Arnold, Zhao, Kun, Zhang, Teng, Lovell, Brian |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 26% |
Student > Master | 7 | 15% |
Researcher | 5 | 11% |
Student > Bachelor | 2 | 4% |
Lecturer | 2 | 4% |
Other | 4 | 9% |
Unknown | 14 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 35% |
Engineering | 5 | 11% |
Agricultural and Biological Sciences | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 3 | 7% |
Unknown | 18 | 39% |