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Mendeley readers
Chapter title |
Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning
|
---|---|
Chapter number | 26 |
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_26 |
Book ISBNs |
978-3-03-061165-1, 978-3-03-061166-8
|
Authors |
Tom van Sonsbeek, Veronika Cheplygina, van Sonsbeek, Tom, Cheplygina, Veronika |
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 % |
---|---|---|
Student > Ph. D. Student | 7 | 47% |
Student > Bachelor | 3 | 20% |
Student > Doctoral Student | 1 | 7% |
Student > Master | 1 | 7% |
Researcher | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 47% |
Engineering | 3 | 20% |
Medicine and Dentistry | 1 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Unknown | 3 | 20% |