| Title |
Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase
|
|---|---|
| Published in |
Abdominal Radiology, September 2020
|
| DOI | 10.1007/s00261-020-02741-x |
| Pubmed ID | |
| Authors |
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X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 10% |
| Researcher | 9 | 9% |
| Other | 8 | 8% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Master | 7 | 7% |
| Other | 16 | 15% |
| Unknown | 48 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 21% |
| Computer Science | 7 | 7% |
| Engineering | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Philosophy | 2 | 2% |
| Other | 14 | 13% |
| Unknown | 51 | 49% |