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Simulated MRI Artifacts: Testing Machine Learning Failure Modes
Objective. Seven types of MRI artifacts, including acquisition and preprocessing errors, were simulated to test a machine learning brain tumor segmentation model for potential failure modes. Introduction. Real-world medical deployments of machine learning algorithms are less common than the number o...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AAAS
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521705/ https://www.ncbi.nlm.nih.gov/pubmed/37850164 http://dx.doi.org/10.34133/2022/9807590 |