DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers.
Saved in:
| Title: | DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers. |
|---|---|
| Authors: | Lerch L; Medical Image Analysis Group, ARTORG Centre for Biomedical Research, University of Bern, Bern, Switzerland.; Computational Neuroscience Group, Department of Physiology, University of Bern, Bern, Switzerland., Huber LS; Cognition, Perception and Research Methods, Department of Psychology, University of Bern, Bern, Switzerland.; Neural Information Processing Group, Department of Computer Science, University of Tübingen, Tübingen, Germany., Kamath A; Medical Image Analysis Group, ARTORG Centre for Biomedical Research, University of Bern, Bern, Switzerland., Pöllinger A; Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital Bern, University of Bern, Bern, Switzerland., Pahud de Mortanges A; Medical Image Analysis Group, ARTORG Centre for Biomedical Research, University of Bern, Bern, Switzerland., Obmann VC; Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital Bern, University of Bern, Bern, Switzerland., Dammann F; Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital Bern, University of Bern, Bern, Switzerland., Senn W; Computational Neuroscience Group, Department of Physiology, University of Bern, Bern, Switzerland.; Center for Artificial Intelligence in Medicine, University of Bern, Bern, Switzerland., Reyes M; Center for Artificial Intelligence in Medicine, University of Bern, Bern, Switzerland.; ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.; Department of Radiation Oncology, University Hospital Bern, University of Bern, Bern, Switzerland. |
| Source: | Frontiers in radiology [Front Radiol] 2024 Dec 19; Vol. 4, pp. 1420545. Date of Electronic Publication: 2024 Dec 19 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918367586306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-8740 (Electronic) Linking ISSN: 26738740 NLM ISO Abbreviation: Front Radiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
