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Mendeley readers
Chapter title |
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
|
---|---|
Chapter number | 20 |
Book title |
Interpretable and Annotation-Efficient Learning for Medical Image Computing
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-61166-8_20 |
Book ISBNs |
978-3-03-061165-1, 978-3-03-061166-8
|
Authors |
Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina, Abbasi-Sureshjani, Samaneh, Raumanns, Ralf, Michels, Britt E. J., Schouten, Gerard, Cheplygina, Veronika |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 12% |
Other | 3 | 9% |
Researcher | 3 | 9% |
Student > Doctoral Student | 3 | 9% |
Student > Master | 2 | 6% |
Other | 2 | 6% |
Unknown | 16 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 24% |
Medicine and Dentistry | 3 | 9% |
Unspecified | 1 | 3% |
Mathematics | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 3 | 9% |
Unknown | 16 | 48% |