Cargando…
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
BACKGROUND: Emerging evidence suggests the presence of neuroanatomical abnormalities in subjects with autism spectrum disorder (ASD). Identifying anatomical correlates could thus prove useful for the automated diagnosis of ASD. Radiomic analyses based on MRI texture features have shown a great poten...
Autores principales: | Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama, Tanougast, Camel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389224/ https://www.ncbi.nlm.nih.gov/pubmed/28821235 http://dx.doi.org/10.1186/s12868-017-0373-0 |
Ejemplares similares
-
Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery
por: Chaddad, Ahmad, et al.
Publicado: (2016) -
Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review
por: Chaddad, Ahmad, et al.
Publicado: (2021) -
Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network
por: Haj-Hassan, Hawraa, et al.
Publicado: (2017) -
Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer
por: Chaddad, Ahmad, et al.
Publicado: (2017) -
High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features
por: Chaddad, Ahmad, et al.
Publicado: (2015)