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Mendeley readers
| Chapter title |
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
|
|---|---|
| Chapter number | 66 |
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
| Published by |
Springer, Cham, September 2020
|
| DOI | 10.1007/978-3-030-59716-0_66 |
| Book ISBNs |
978-3-03-059715-3, 978-3-03-059716-0
|
| Authors |
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Mueller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer, Bengs, Marcel, Gessert, Nils, Laffers, Wiebke, Eggert, Dennis, Westermann, Stephan, Mueller, Nina A., Gerstner, Andreas O. H., Betz, Christian, Schlaefer, Alexander |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Other | 2 | 12% |
| Student > Master | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 29% |
| Engineering | 3 | 18% |
| Agricultural and Biological Sciences | 1 | 6% |
| Materials Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |