Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions

We evaluated the effectiveness of automated segmentation of the liver and its vessels with a convolutional neural network on non-contrast T1 vibe Dixon acquisitions. A dataset of non-contrast T1 vibe Dixon liver magnetic resonance images was labelled slice-by-slice for the outer liver border, portal...

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Detalles Bibliográficos
Autores principales: Zbinden, Lukas, Catucci, Damiano, Suter, Yannick, Berzigotti, Annalisa, Ebner, Lukas, Christe, Andreas, Obmann, Verena Carola, Sznitman, Raphael, Huber, Adrian Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772168/
https://www.ncbi.nlm.nih.gov/pubmed/36543852
http://dx.doi.org/10.1038/s41598-022-26328-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772168/
https://www.ncbi.nlm.nih.gov/pubmed/36543852
http://dx.doi.org/10.1038/s41598-022-26328-2

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