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Mendeley readers
Chapter title |
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment
|
---|---|
Chapter number | 52 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59722-1_52 |
Book ISBNs |
978-3-03-059721-4, 978-3-03-059722-1
|
Authors |
David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs, Ho, David Joon, Agaram, Narasimhan P., Schüffler, Peter J., Vanderbilt, Chad M., Jean, Marc-Henri, Hameed, Meera R., Fuchs, Thomas J. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 23% |
Researcher | 3 | 10% |
Student > Master | 3 | 10% |
Professor | 2 | 7% |
Other | 1 | 3% |
Other | 2 | 7% |
Unknown | 12 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 30% |
Engineering | 3 | 10% |
Medicine and Dentistry | 2 | 7% |
Psychology | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 2 | 7% |
Unknown | 12 | 40% |