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Mendeley readers
Chapter title |
Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI
|
---|---|
Chapter number | 17 |
Book title |
Decision Forests for Computer Vision and Medical Image Analysis
|
Published by |
Springer, London, January 2013
|
DOI | 10.1007/978-1-4471-4929-3_17 |
Book ISBNs |
978-1-4471-4928-6, 978-1-4471-4929-3
|
Authors |
E. Geremia, D. Zikic, O. Clatz, B. H. Menze, B. Glocker, E. Konukoglu, J. Shotton, O. M. Thomas, S. J. Price, T. Das, R. Jena, N. Ayache, A. Criminisi, Geremia, E., Zikic, D., Clatz, O., Menze, B. H., Glocker, B., Konukoglu, E., Shotton, J., Thomas, O. M., Price, S. J., Das, T., Jena, R., Ayache, N., Criminisi, A. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 7% |
Iran, Islamic Republic of | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 23 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 33% |
Researcher | 6 | 22% |
Student > Master | 6 | 22% |
Student > Postgraduate | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 44% |
Engineering | 10 | 37% |
Mathematics | 2 | 7% |
Neuroscience | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 0 | 0% |
Unknown | 1 | 4% |