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Mendeley readers
Chapter title |
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation
|
---|---|
Chapter number | 15 |
Book title |
Machine Learning in Medical Imaging
|
Published by |
Springer International Publishing, September 2014
|
DOI | 10.1007/978-3-319-10581-9_15 |
Book ISBNs |
978-3-31-910580-2, 978-3-31-910581-9
|
Authors |
Youngjin Yoo, Tom Brosch, Anthony Traboulsee, David K. B. Li, Roger Tam |
Editors |
Guorong Wu, Daoqiang Zhang, Luping Zhou |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Australia | 1 | 1% |
Canada | 1 | 1% |
Unknown | 81 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 31% |
Student > Master | 19 | 22% |
Student > Bachelor | 9 | 11% |
Researcher | 7 | 8% |
Professor | 3 | 4% |
Other | 10 | 12% |
Unknown | 11 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 32 | 38% |
Engineering | 19 | 22% |
Agricultural and Biological Sciences | 4 | 5% |
Medicine and Dentistry | 4 | 5% |
Neuroscience | 4 | 5% |
Other | 8 | 9% |
Unknown | 14 | 16% |