Application of A U-Net for Map-like Segmentation and Classification of Discontinuous Fibrosis Distribution in Gd-EOB-DTPA-Enhanced Liver MRI

HIGHLIGHTS: -. First application of a U-net for the segmentation and classification of discontinuous liver fibrosis distribution. -. Fully automated, scalable pipeline for data pre-processing, segmentation, and classification. -. The present research could serve as a cornerstone of further applicati...

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Detalles Bibliográficos
Autores principales: Strotzer, Quirin David, Winther, Hinrich, Utpatel, Kirsten, Scheiter, Alexander, Fellner, Claudia, Doppler, Michael Christian, Ringe, Kristina Imeen, Raab, Florian, Haimerl, Michael, Uller, Wibke, Stroszczynski, Christian, Luerken, Lukas, Verloh, Niklas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406317/
https://www.ncbi.nlm.nih.gov/pubmed/36010288
http://dx.doi.org/10.3390/diagnostics12081938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406317/
https://www.ncbi.nlm.nih.gov/pubmed/36010288
http://dx.doi.org/10.3390/diagnostics12081938

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