Medical Image Understanding and Analysis
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images
|
|---|---|
| Book title |
Medical Image Understanding and Analysis
|
| Published by |
Springer, Cham, July 2021
|
| DOI | 10.1007/978-3-030-80432-9_25 |
| Book ISBNs |
978-3-03-080431-2, 978-3-03-080432-9
|
| Authors |
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn, Thebille, Ann-Katrin, Dietrich, Esther, Klaus, Martin, Gernhold, Lukas, Lennartz, Maximilian, Kuppe, Christoph, Kramann, Rafael, Huber, Tobias B., Sauter, Guido, Puelles, Victor G., Zimmermann, Marina, Bonn, Stefan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 14% |
| Other | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Social Sciences | 1 | 14% |
| Unknown | 4 | 57% |