Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors

BACKGROUND AND PURPOSE: Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan adaptation to the anatomy of the day. In the current MRgRT workflow, this requires the time consuming and repetitive task of manual delineation of organs-at-risk (OARs), which is also prone to inter-...

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Detalles Bibliográficos
Autores principales: Ribeiro, Marvin F., Marschner, Sebastian, Kawula, Maria, Rabe, Moritz, Corradini, Stefanie, Belka, Claus, Riboldi, Marco, Landry, Guillaume, Kurz, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424424/
https://www.ncbi.nlm.nih.gov/pubmed/37574549
http://dx.doi.org/10.1186/s13014-023-02330-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424424/
https://www.ncbi.nlm.nih.gov/pubmed/37574549
http://dx.doi.org/10.1186/s13014-023-02330-4

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