Cargando…
Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT
Target definition is the largest source of geometric uncertainty in radiation therapy. This is partly due to a lack of contrast between tumor and healthy soft tissue for computed tomography (CT) and due to blurriness, lower spatial resolution, and lack of a truly quantitative unit for positron emiss...
Autores principales: | Markel, Daniel, Caldwell, Curtis, Alasti, Hamideh, Soliman, Hany, Ung, Yee, Lee, Justin, Sun, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600349/ https://www.ncbi.nlm.nih.gov/pubmed/23533750 http://dx.doi.org/10.1155/2013/980769 |
Ejemplares similares
-
Diagnostic value of baseline (18)FDG PET/CT skeletal textural features in follicular lymphoma
por: Faudemer, Julie, et al.
Publicado: (2021) -
(18)FDG PET/CT in Pulmonary Carcinosarcoma and Brain Metastasis
por: Abbasain, Hamideh, et al.
Publicado: (2019) -
[(18)F]FDG-PET/CT texture analysis in thyroid incidentalomas: preliminary results
por: Sollini, M., et al.
Publicado: (2017) -
Texture Analysis of (18)F-FDG PET/CT for Differential Diagnosis Spinal Metastases
por: Fan, Xin, et al.
Publicado: (2021) -
Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal (18)F-FDG PET/CT
por: Peng, Lihong, et al.
Publicado: (2023)