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Mendeley readers
Chapter title |
Semi-supervised Machine Learning with MixMatch and Equivalence Classes
|
---|---|
Chapter number | 12 |
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_12 |
Book ISBNs |
978-3-03-061165-1, 978-3-03-061166-8
|
Authors |
Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman, Hansen, Colin B., Nath, Vishwesh, Gao, Riqiang, Bermudez, Camilo, Huo, Yuankai, Sandler, Kim L., Massion, Pierre P., Blume, Jeffrey D., Lasko, Thomas A., Landman, Bennett A. |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 13% |
Lecturer > Senior Lecturer | 1 | 7% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Other | 1 | 7% |
Unknown | 8 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 27% |
Mathematics | 1 | 7% |
Engineering | 1 | 7% |
Unknown | 9 | 60% |