Cargando…
CT texture analysis using the filtration-histogram method: what do the measurements mean?
Analysis of texture within tumours on computed tomography (CT) is emerging as a potentially useful tool in assessing prognosis and treatment response for patients with cancer. This article illustrates the image and histological features that correlate with CT texture parameters obtained from tumours...
Autores principales: | Miles, Kenneth A., Ganeshan, Balaji, Hayball, Michael P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
e-Med
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781643/ https://www.ncbi.nlm.nih.gov/pubmed/24061266 http://dx.doi.org/10.1102/1470-7330.2013.9045 |
Ejemplares similares
-
Evaluation of the Impact of Iterative Reconstruction Algorithms on Computed Tomography Texture Features of the Liver Parenchyma Using the Filtration-Histogram Method
por: Sung, Pamela, et al.
Publicado: (2019) -
Filtration-Histogram Based Magnetic Resonance Texture Analysis (MRTA) for the Distinction of Primary Central Nervous System Lymphoma and Glioblastoma
por: MacIver, Claire L., et al.
Publicado: (2021) -
Quantifying tumour heterogeneity with CT
por: Ganeshan, Balaji, et al.
Publicado: (2013) -
Retrospective CT/MRI Texture Analysis of Rapidly Progressive Hepatocellular Carcinoma
por: Kim, Charissa, et al.
Publicado: (2020) -
Combination of LBP Bin and Histogram Selections for Color Texture Classification
por: Porebski, Alice, et al.
Publicado: (2020)