Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images

PURPOSE: Automated algorithms for liver parenchyma segmentation can be used to create patient-specific models (PSM) that assist clinicians in surgery planning. In this work, we analyze the clinical applicability of automated deep learning methods together with level set post-processing for liver seg...

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Detalles Bibliográficos
Autores principales: Nainamalai, Varatharajan, Prasad, Pravda Jith Ray, Pelanis, Egidijus, Edwin, Bjørn, Albregtsen, Fritz, Elle, Ole Jakob, P. Kumar, Rahul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640352/
https://www.ncbi.nlm.nih.gov/pubmed/36386761
http://dx.doi.org/10.1016/j.ejro.2022.100448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640352/
https://www.ncbi.nlm.nih.gov/pubmed/36386761
http://dx.doi.org/10.1016/j.ejro.2022.100448

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