Dual-energy CT for automatic organs-at-risk segmentation in brain-tumor patients using a multi-atlas and deep-learning approach

In radiotherapy, computed tomography (CT) datasets are mostly used for radiation treatment planning to achieve a high-conformal tumor coverage while optimally sparing healthy tissue surrounding the tumor, referred to as organs-at-risk (OARs). Based on CT scan and/or magnetic resonance images, OARs h...

Descripción completa

Detalles Bibliográficos
Autores principales: van der Heyden, Brent, Wohlfahrt, Patrick, Eekers, Daniëlle B. P., Richter, Christian, Terhaag, Karin, Troost, Esther G. C., Verhaegen, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411877/
https://www.ncbi.nlm.nih.gov/pubmed/30858409
http://dx.doi.org/10.1038/s41598-019-40584-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411877/
https://www.ncbi.nlm.nih.gov/pubmed/30858409
http://dx.doi.org/10.1038/s41598-019-40584-9

Ejemplares similares