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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
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 |