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An anomaly detection approach to identify chronic brain infarcts on MRI
The performance of current machine learning methods to detect heterogeneous pathology is limited by the quantity and quality of pathology in medical images. A possible solution is anomaly detection; an approach that can detect all abnormalities by learning how ‘normal’ tissue looks like. In this wor...
Autores principales: | van Hespen, Kees M., Zwanenburg, Jaco J. M., Dankbaar, Jan W., Geerlings, Mirjam I., Hendrikse, Jeroen, Kuijf, Hugo J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032662/ https://www.ncbi.nlm.nih.gov/pubmed/33833297 http://dx.doi.org/10.1038/s41598-021-87013-4 |
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