| Title |
Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study
|
|---|---|
| Published in |
Abdominal Radiology, November 2019
|
| DOI | 10.1007/s00261-019-02306-7 |
| Pubmed ID | |
| Authors |
Rikiya Yamashita, Amber Mittendorf, Zhe Zhu, Kathryn J. Fowler, Cynthia S. Santillan, Claude B. Sirlin, Mustafa R. Bashir, Richard K. G. Do |
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 % |
|---|---|---|
| Netherlands | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Master | 6 | 14% |
| Student > Ph. D. Student | 5 | 12% |
| Other | 4 | 10% |
| Student > Bachelor | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 24% |
| Computer Science | 5 | 12% |
| Nursing and Health Professions | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 15 | 36% |