Cargando…
Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age
We propose using multi-scale image textures to investigate links between neuroanatomical regions and clinical variables in MRI. Texture features are derived at multiple scales of resolution based on the Laplacian-of-Gaussian (LoG) filter. Three quantifier functions (Average, Standard Deviation and E...
Autores principales: | Chaddad, Ahmad, Desrosiers, Christian, Toews, Matthew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374503/ https://www.ncbi.nlm.nih.gov/pubmed/28361913 http://dx.doi.org/10.1038/srep45639 |
Ejemplares similares
-
Predicting survival time of lung cancer patients using radiomic analysis
por: Chaddad, Ahmad, et al.
Publicado: (2017) -
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
por: Chaddad, Ahmad, et al.
Publicado: (2017) -
Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery
por: Chaddad, Ahmad, et al.
Publicado: (2016) -
Integration of Radiomic and Multi-omic Analyses Predicts Survival of Newly Diagnosed IDH1 Wild-Type Glioblastoma
por: Chaddad, Ahmad, et al.
Publicado: (2019) -
Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects
por: Chaddad, Ahmad, et al.
Publicado: (2023)