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Mendeley readers
| Chapter title |
Melanoma Decision Support Using Lighting-Corrected Intuitive Feature Models
|
|---|---|
| Chapter number | 7 |
| Book title |
Computer Vision Techniques for the Diagnosis of Skin Cancer
|
| Published by |
Springer, Berlin, Heidelberg, January 2014
|
| DOI | 10.1007/978-3-642-39608-3_7 |
| Book ISBNs |
978-3-64-239607-6, 978-3-64-239608-3
|
| Authors |
Robert Amelard, Jeffrey Glaister, Alexander Wong, David A. Clausi |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 29% |
| Sports and Recreations | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 36% |