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| Chapter title |
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images
|
|---|---|
| Chapter number | 61 |
| Book title |
Bildverarbeitung für die Medizin 2018
|
| Published by |
Springer Vieweg, Berlin, Heidelberg, January 2018
|
| DOI | 10.1007/978-3-662-56537-7_61 |
| Book ISBNs |
978-3-66-256536-0, 978-3-66-256537-7
|
| Authors |
Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl, Dorit Merhof |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 18% |
| Student > Master | 4 | 18% |
| Other | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Professor | 2 | 9% |
| Other | 1 | 5% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 18% |
| Engineering | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 1 | 5% |
| Unknown | 11 | 50% |