Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics

Quantification of renal perfusion based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) requires determination of signal intensity time courses in the region of renal parenchyma. Thus, selection of voxels representing the kidney must be accomplished with special care and constitute...

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Detalles Bibliográficos
Autores principales: Klepaczko, Artur, Eikefjord, Eli, Lundervold, Arvid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538657/
https://www.ncbi.nlm.nih.gov/pubmed/34695931
http://dx.doi.org/10.3390/s21206714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538657/
https://www.ncbi.nlm.nih.gov/pubmed/34695931
http://dx.doi.org/10.3390/s21206714

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