| Title |
Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort
|
|---|---|
| Published in |
Abdominal Radiology, April 2019
|
| DOI | 10.1007/s00261-019-02014-2 |
| Pubmed ID | |
| Authors |
Peter M. Graffy, Jiamin Liu, Stacy O’Connor, Ronald M. Summers, Perry J. Pickhardt |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Student > Bachelor | 10 | 15% |
| Student > Master | 7 | 11% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 10 | 15% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 25% |
| Engineering | 8 | 12% |
| Computer Science | 8 | 12% |
| Nursing and Health Professions | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 23 | 35% |