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Mendeley readers
| Title |
A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2009
|
| DOI | 10.1186/1472-6947-9-s1-s2 |
| Pubmed ID | |
| Authors |
Rebecca Smith, Kayvan Najarian, Kevin Ward |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Unknown | 30 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 31% |
| Researcher | 6 | 19% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 34% |
| Engineering | 9 | 28% |
| Medicine and Dentistry | 3 | 9% |
| Physics and Astronomy | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 19% |