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Lea Marie Pehrson
Lea Marie Pehrson
MSc. Data Science, PhD candidate.
Verified email at regionh.dk
Title
Cited by
Cited by
Year
Automatic pulmonary nodule detection applying deep learning or machine learning algorithms to the LIDC-IDRI database: a systematic review
LM Pehrson, MB Nielsen, C Ammitzbøl Lauridsen
Diagnostics 9 (1), 29, 2019
1132019
The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review
D Li, LM Pehrson, CA Lauridsen, L Tøttrup, M Fraccaro, D Elliott, ...
Diagnostics 11 (12), 2206, 2021
242021
Machine learning and deep learning applied in ultrasound
LM Pehrson, C Lauridsen, MB Nielsen
Ultraschall in der Medizin-European Journal of Ultrasound 39 (04), 379-381, 2018
232018
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 …
D Li, LM Pehrson, L Tøttrup, M Fraccaro, R Bonnevie, J Thrane, ...
Diagnostics 12 (12), 3112, 2022
42022
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
D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ...
Diagnostics 13 (6), 1070, 2023
12023
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 …
D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ...
2023
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