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| Chapter title |
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks
|
|---|---|
| Chapter number | 69 |
| Book title |
Bildverarbeitung für die Medizin 2020
|
| Published by |
Springer Vieweg, Wiesbaden, January 2020
|
| DOI | 10.1007/978-3-658-29267-6_69 |
| Book ISBNs |
978-3-65-829266-9, 978-3-65-829267-6
|
| Authors |
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier, Fu, Weilin, Breininger, Katharina, Schaffert, Roman, Ravikumar, Nishant, Maier, Andreas |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Master | 5 | 22% |
| Researcher | 3 | 13% |
| Professor | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 26% |
| Computer Science | 4 | 17% |
| Physics and Astronomy | 2 | 9% |
| Chemistry | 1 | 4% |
| Design | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |