Cargando…
Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery
PURPOSE: This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images. Three types of pathological tissues (PT) are considered: benign hyperplasia, intraepithelial neoplasia and carcinoma. MATERIAL...
Autores principales: | Chaddad, Ahmad, Desrosiers, Christian, Bouridane, Ahmed, Toews, Matthew, Hassan, Lama, Tanougast, Camel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764026/ https://www.ncbi.nlm.nih.gov/pubmed/26901134 http://dx.doi.org/10.1371/journal.pone.0149893 |
Ejemplares similares
-
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) -
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
por: Chaddad, Ahmad, et al.
Publicado: (2017) -
Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images
por: Chaddad, Ahmad, et al.
Publicado: (2016) -
High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features
por: Chaddad, Ahmad, et al.
Publicado: (2015)