Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging

PURPOSE: Accurate liver segmentation is key for volumetry assessment to guide treatment decisions. Moreover, it is an important pre-processing step for cancer detection algorithms. Liver segmentation can be especially challenging in patients with cancer-related tissue changes and shape deformation....

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Detalles Bibliográficos
Autores principales: Gross, Moritz, Spektor, Michael, Jaffe, Ariel, Kucukkaya, Ahmet S., Iseke, Simon, Haider, Stefan P., Strazzabosco, Mario, Chapiro, Julius, Onofrey, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635384/
https://www.ncbi.nlm.nih.gov/pubmed/34852007
http://dx.doi.org/10.1371/journal.pone.0260630

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635384/
https://www.ncbi.nlm.nih.gov/pubmed/34852007
http://dx.doi.org/10.1371/journal.pone.0260630

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