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Mendeley readers
Chapter title |
Automated Medical Image Modality Recognition by Fusion of Visual and Text Information
|
---|---|
Chapter number | 61 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-10470-6_61 |
Book ISBNs |
978-3-31-910469-0, 978-3-31-910470-6
|
Authors |
Noel Codella, Jonathan Connell, Sharath Pankanti, Michele Merler, John R. Smith |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 5 | 28% |
Student > Ph. D. Student | 3 | 17% |
Researcher | 2 | 11% |
Lecturer | 1 | 6% |
Professor | 1 | 6% |
Other | 3 | 17% |
Unknown | 3 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Engineering | 4 | 22% |
Medicine and Dentistry | 2 | 11% |
Business, Management and Accounting | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 22% |