Cargando…
Radiographic Texture Reproducibility: The Impact of Different Materials, their Arrangement, and Focal Spot Size
BACKGROUND: Feature reproducibility is a critical issue in quantitative radiomic studies. The aim of this study is to assess how radiographic radiomic textures behave against changes in phantom materials, their arrangements, and focal spot size. METHOD: A phantom with detachable parts was made using...
Autores principales: | Qasempour, Younes, Mohammadi, Amirsalar, Rezaei, Mostafa, Pouryazadanpanah, Parisa, Ziaddini, Fatemeh, Borbori, Alma, Shiri, Isaac, Hajianfar, Ghasem, Janati, Azam, Ghasemirad, Sareh, Abdollahi, Hamid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866945/ https://www.ncbi.nlm.nih.gov/pubmed/33575200 http://dx.doi.org/10.4103/jmss.JMSS_64_19 |
Ejemplares similares
-
Spatial arrangement in texture discrimination and texture segregation
por: Vancleef, Kathleen, et al.
Publicado: (2013) -
Synergistic impact of motion and acquisition/reconstruction parameters on (18)F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies
por: Hosseini, Seyyed Ali, et al.
Publicado: (2022) -
The use and the cost of outpatient diagnostic procedures for cardiovascular diseases in Isfahan province: A utilization study
por: Rezayatmand, Reza, et al.
Publicado: (2022) -
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
por: Taleie, Haniyeh, et al.
Publicado: (2023) -
COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
por: Shiri, Isaac, et al.
Publicado: (2021)