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X Demographics
Mendeley readers
| Title |
Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators
|
|---|---|
| Published in |
Frontiers in Radiology, October 2022
|
| DOI | 10.3389/fradi.2022.991683 |
| Pubmed ID | |
| Authors |
Akino Watanabe, Sara Ketabi, Khashayar Namdar, Farzad Khalvati |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 21% |
| Medicine and Dentistry | 2 | 14% |
| Engineering | 2 | 14% |
| Unknown | 7 | 50% |