Lea Marie Pehrson
Guest researcher
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
1 - 1 out of 1Page size: 10
- 2022
- Published
Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System
Li, D., Pehrson, Lea Marie, Tøttrup, L., Fraccaro, M., Bonnevie, R., Thrane, J., Sørensen, P. J., Rykkje, A., Andersen, T. T., Steglich-Arnholm, H., Stærk, D. M. R., Borgwardt, L., Hansen, Kristoffer Lindskov, Darkner, Sune, Carlsen, Jonathan Frederik & Nielsen, Michael Bachmann, 2022, In: Diagnostics. 12, 12, 3112.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 284194243
Most downloads
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21
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The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review
Research output: Contribution to journal › Review › Research › peer-review
Published -
18
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Performance and Agreement When Annotating Chest X-ray Text Reports - A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
16
downloads
Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System
Research output: Contribution to journal › Journal article › Research › peer-review
Published