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...

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Detalles Bibliográficos
Autores principales: van Hespen, Kees M., Zwanenburg, Jaco J. M., Dankbaar, Jan W., Geerlings, Mirjam I., Hendrikse, Jeroen, Kuijf, Hugo J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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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