You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
| Chapter title |
Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer’s Disease
|
|---|---|
| Chapter number | 68 |
| Book title |
Bildverarbeitung für die Medizin 2020
|
| Published by |
Springer Vieweg, Wiesbaden, January 2020
|
| DOI | 10.1007/978-3-658-29267-6_68 |
| Book ISBNs |
978-3-65-829266-9, 978-3-65-829267-6
|
| Authors |
Martin Dyrba, Arjun H. Pallath, Eman N. Marzban, Dyrba, Martin, Pallath, Arjun H., Marzban, Eman N. |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 67% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 36% |
| Unspecified | 2 | 18% |
| Researcher | 2 | 18% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 36% |
| Unspecified | 2 | 18% |
| Engineering | 1 | 9% |
| Unknown | 4 | 36% |