Cargando…
Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region
PURPOSE: The aim of this study was to evaluate generalization ability of segmentation accuracy for limited FOV CBCT in the male pelvic region using a full‐image CNN. Auto‐segmentation accuracy was evaluated using various datasets with different intensity distributions and FOV sizes. METHODS: A total...
Autores principales: | Hirashima, Hideaki, Nakamura, Mitsuhiro, Imanishi, Keiho, Nakao, Megumi, Mizowaki, Takashi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161011/ https://www.ncbi.nlm.nih.gov/pubmed/36659871 http://dx.doi.org/10.1002/acm2.13912 |
Ejemplares similares
-
Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region
por: Nakamura, Mitsuhiro, et al.
Publicado: (2021) -
Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase
por: Wu, Shuqiong, et al.
Publicado: (2022) -
Quality assurance of geometric accuracy based on an electronic portal imaging device and log data analysis for Dynamic WaveArc irradiation
por: Hirashima, Hideaki, et al.
Publicado: (2018) -
Validation of the clinical applicability of knowledge‐based planning models in single‐isocenter volumetric‐modulated arc therapy for multiple brain metastases
por: Kishi, Noriko, et al.
Publicado: (2020) -
Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer
por: Nakamura, Mitsuhiro, et al.
Publicado: (2019)