Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer

BACKGROUND/HYPOTHESIS: MRI-guided online adaptive radiotherapy (MRI-g-OART) improves target coverage and organs-at-risk (OARs) sparing in radiation therapy (RT). For patients with locally advanced cervical cancer (LACC) undergoing RT, changes in bladder and rectal filling contribute to large inter-f...

Descripción completa

Detalles Bibliográficos
Autores principales: Breto, Adrian L., Spieler, Benjamin, Zavala-Romero, Olmo, Alhusseini, Mohammad, Patel, Nirav V., Asher, David A., Xu, Isaac R., Baikovitz, Jacqueline B., Mellon, Eric A., Ford, John C., Stoyanova, Radka, Portelance, Lorraine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159296/
https://www.ncbi.nlm.nih.gov/pubmed/35664789
http://dx.doi.org/10.3389/fonc.2022.854349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159296/
https://www.ncbi.nlm.nih.gov/pubmed/35664789
http://dx.doi.org/10.3389/fonc.2022.854349

Ejemplares similares