Towards Longitudinal Glioma Segmentation: Evaluating combined pre- and post-treatment MRI training data for automated tumor segmentation using nnU-Net

Identification of key phenotypic regions such as necrosis, contrast enhancement, and edema on magnetic resonance imaging (MRI) is important for understanding disease evolution and treatment response in patients with glioma. Manual delineation is time intensive and not feasible for a clinical workflo...

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Detalles Bibliográficos
Autores principales: Ranjbar, Sara, Singleton, Kyle W., Curtin, Lee, Paulson, Lisa, Clark-Swanson, Kamala, Hawkins-Daarud, Andrea, Mitchell, J. Ross, Jackson, Pamela R., Swanson, and Kristin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274985/
https://www.ncbi.nlm.nih.gov/pubmed/37333148
http://dx.doi.org/10.1101/2023.05.31.23290537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274985/
https://www.ncbi.nlm.nih.gov/pubmed/37333148
http://dx.doi.org/10.1101/2023.05.31.23290537

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