Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study

The purpose of this study was to assess the clinical value of a deep learning (DL) model for automatic detection and segmentation of brain metastases, in which a neural network is trained on four distinct MRI sequences using an input-level dropout layer, thus simulating the scenario of missing MRI s...

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Detalles Bibliográficos
Autores principales: Grøvik, Endre, Yi, Darvin, Iv, Michael, Tong, Elizabeth, Nilsen, Line Brennhaug, Latysheva, Anna, Saxhaug, Cathrine, Jacobsen, Kari Dolven, Helland, Åslaug, Emblem, Kyrre Eeg, Rubin, Daniel L., Zaharchuk, Greg
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/PMC7900111/
https://www.ncbi.nlm.nih.gov/pubmed/33619361
http://dx.doi.org/10.1038/s41746-021-00398-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900111/
https://www.ncbi.nlm.nih.gov/pubmed/33619361
http://dx.doi.org/10.1038/s41746-021-00398-4

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