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Mendeley readers
Chapter title |
Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography
|
---|---|
Chapter number | 4 |
Book title |
Abdominal Imaging. Computational and Clinical Applications
|
Published by |
Springer Berlin Heidelberg, January 2012
|
DOI | 10.1007/978-3-642-28557-8_4 |
Book ISBNs |
978-3-64-228556-1, 978-3-64-228557-8
|
Authors |
Janne J. Näppi, Daniele Regge, Hiroyuki Yoshida |
Editors |
Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 15% |
Student > Bachelor | 2 | 15% |
Student > Ph. D. Student | 2 | 15% |
Researcher | 2 | 15% |
Professor | 1 | 8% |
Other | 3 | 23% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 31% |
Engineering | 3 | 23% |
Medicine and Dentistry | 3 | 23% |
Agricultural and Biological Sciences | 1 | 8% |
Unknown | 2 | 15% |