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Mendeley readers
| Chapter title |
PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification
|
|---|---|
| Chapter number | 2 |
| Book title |
Digital Pathology
|
| Published by |
Springer, Cham, April 2019
|
| DOI | 10.1007/978-3-030-23937-4_2 |
| Book ISBNs |
978-3-03-023936-7, 978-3-03-023937-4
|
| Authors |
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, Nasir Rajpoot, Gamper, Jevgenij, Alemi Koohbanani, Navid, Benet, Ksenija, Khuram, Ali, Rajpoot, Nasir |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 5 | 13% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 30% |
| Engineering | 4 | 10% |
| Medicine and Dentistry | 3 | 8% |
| Chemistry | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 16 | 40% |