The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
| Title |
Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
|
|---|---|
| Published in |
Frontiers in Medicine, May 2024
|
| DOI | 10.3389/fmed.2024.1421603 |
| Pubmed ID | |
| Authors |
Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Kristian Hovde Liland, Ingerid Skjei Knudtsen, Frank Hoebers, Wouter van Elmpt, Eirik Malinen, Einar Dale, Cecilia Marie Futsaether |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 50% |
| Unspecified | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 50% |
| Nursing and Health Professions | 2 | 50% |