Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

PURPOSE: Brain Magnetic Resonance Images (MRIs) are essential for the diagnosis of neurological diseases. Recently, deep learning methods for unsupervised anomaly detection (UAD) have been proposed for the analysis of brain MRI. These methods rely on healthy brain MRIs and eliminate the requirement...

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Detalles Bibliográficos
Autores principales: Bengs, Marcel, Behrendt, Finn, Krüger, Julia, Opfer, Roland, Schlaefer, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354959/
https://www.ncbi.nlm.nih.gov/pubmed/34251654
http://dx.doi.org/10.1007/s11548-021-02451-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354959/
https://www.ncbi.nlm.nih.gov/pubmed/34251654
http://dx.doi.org/10.1007/s11548-021-02451-9

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