Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans

BACKGROUND: Emerging data suggest that dose-sparing several key cardiac regions is prognostically beneficial in lung cancer radiotherapy. The cardiac substructures are challenging to contour due to their complex geometry, poor soft tissue definition on computed tomography (CT) and cardiorespiratory...

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Detalles Bibliográficos
Autores principales: Walls, Gerard M., Giacometti, Valentina, Apte, Aditya, Thor, Maria, McCann, Conor, Hanna, Gerard G., O'Connor, John, Deasy, Joseph O., Hounsell, Alan R., Butterworth, Karl T., Cole, Aidan J., Jain, Suneil, McGarry, Conor K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356270/
https://www.ncbi.nlm.nih.gov/pubmed/35941861
http://dx.doi.org/10.1016/j.phro.2022.07.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356270/
https://www.ncbi.nlm.nih.gov/pubmed/35941861
http://dx.doi.org/10.1016/j.phro.2022.07.003

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