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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Detalhes bibliográficos
Publicado no:NPJ Digit Med
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7900111/
https://ncbi.nlm.nih.gov/pubmed/33619361
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00398-4
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