Cargando…
Real-world validation of Artificial Intelligence-based Computed Tomography auto-contouring for prostate cancer radiotherapy planning
BACKGROUND AND PURPOSE: Artificial Intelligence (AI)-based auto-contouring for treatment planning in radiotherapy needs extensive clinical validation, including the impact of editing after automatic segmentation. The aims of this study were to assess the performance of a commercial system for Clinic...
Autores principales: | Palazzo, Gabriele, Mangili, Paola, Deantoni, Chiara, Fodor, Andrei, Broggi, Sara, Castriconi, Roberta, Ubeira Gabellini, Maria Giulia, del Vecchio, Antonella, Di Muzio, Nadia G., Fiorino, Claudio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618761/ https://www.ncbi.nlm.nih.gov/pubmed/37920450 http://dx.doi.org/10.1016/j.phro.2023.100501 |
Ejemplares similares
-
Residual intra-fraction error in robotic spinal stereotactic body radiotherapy without immobilization devices
por: Rossi, Eleonora, et al.
Publicado: (2020) -
Replacing Manual Planning of Whole Breast Irradiation With Knowledge-Based Automatic Optimization by Virtual Tangential-Fields Arc Therapy
por: Castriconi, Roberta, et al.
Publicado: (2021) -
Knowledge-based automatic plan optimization for left-sided whole breast tomotherapy
por: Esposito, Pier Giorgio, et al.
Publicado: (2022) -
Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization
por: Alborghetti, Lisa, et al.
Publicado: (2023) -
Ten Year Results of Extensive Nodal Radiotherapy and Moderately Hypofractionated Simultaneous Integrated Boost in Unfavorable Intermediate-, High-, and Very High-Risk Prostate Cancer
por: Di Muzio, Nadia Gisella, et al.
Publicado: (2021)