Cargando…
Computer-assisted delineation of lung tumor regions in treatment planning CT images with PET/CT image sets based on an optimum contour selection method
To assist radiation oncologists in the delineation of tumor regions during treatment planning for lung cancer, we have proposed an automated contouring algorithm based on an optimum contour selection (OCS) method for treatment planning computed tomography (CT) images with positron emission tomograph...
Autores principales: | Jin, Ze, Arimura, Hidetaka, Shioyama, Yoshiyuki, Nakamura, Katsumasa, Kuwazuru, Jumpei, Magome, Taiki, Yabu-Uchi, Hidetake, Honda, Hiroshi, Hirata, Hideki, Sasaki, Masayuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229921/ https://www.ncbi.nlm.nih.gov/pubmed/24980022 http://dx.doi.org/10.1093/jrr/rru056 |
Ejemplares similares
-
Computer-assisted framework for machine-learning–based delineation of GTV regions on datasets of planning CT and PET/CT images
por: Ikushima, Koujiro, et al.
Publicado: (2017) -
Similar-Case-Based Optimization of Beam Arrangements in Stereotactic Body Radiotherapy for Assisting Treatment Planners
por: Magome, Taiki, et al.
Publicado: (2013) -
Computer-aided beam arrangement based on similar cases in radiation treatment-planning databases for stereotactic lung radiation therapy
por: Magome, Taiki, et al.
Publicado: (2013) -
Computerized estimation of patient setup errors in portal images based on localized pelvic templates for prostate cancer radiotherapy
por: Arimura, Hidetaka, et al.
Publicado: (2012) -
Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
por: Cui, Yunhao, et al.
Publicado: (2021)