Cargando…
The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy
PURPOSE: Our purpose was to investigate the influence of atlas library size and CT cross-slice number on the accuracy and efficiency of the atlas-based auto-segmentation (ABAS) method for the automatic contouring of clinical treatment volume (CTV) and organs at risk (OARs) during cervical cancer rad...
Autores principales: | Li, Yi, Wu, Wenjing, Sun, Yuchen, Yu, Dequan, Zhang, Yuemei, Wang, Long, Wang, Yao, Zhang, Xiaozhi, Lu, Yongkai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379286/ https://www.ncbi.nlm.nih.gov/pubmed/35982960 http://dx.doi.org/10.3389/fonc.2022.945053 |
Ejemplares similares
-
Automatic contour segmentation of cervical cancer using artificial intelligence
por: Kano, Yosuke, et al.
Publicado: (2021) -
Analysis of Geometric Performance and Dosimetric Impact of Using Automatic Contour Segmentation for Radiotherapy Planning
por: Cao, Minsong, et al.
Publicado: (2020) -
Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours
por: Wong, Jordan, et al.
Publicado: (2021) -
Comprehensive clinical evaluation of deep learning-based auto-segmentation for radiotherapy in patients with cervical cancer
por: Chung, Seung Yeun, et al.
Publicado: (2023) -
Evaluation Exploration of Atlas-Based and Deep Learning-Based Automatic Contouring for Nasopharyngeal Carcinoma
por: Wang, Jinyuan, et al.
Publicado: (2022)