| Title |
Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
|
|---|---|
| Published in |
ADS, October 2013
|
| DOI | 10.1186/1687-6180-2013-157 |
| Authors |
Felix Retter, Claudia Plant, Bernhard Burgeth, Guillermo Botella, Thomas Schlossbauer, Anke Meyer-Bäse |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 38% |
| Researcher | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 38% |
| Medicine and Dentistry | 3 | 19% |
| Agricultural and Biological Sciences | 2 | 13% |
| Physics and Astronomy | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 19% |