Cargando…
Automated image analysis in the study of collagenous colitis
PURPOSE: The aim of this study was to develop an automated image analysis software to measure the thickness of the subepithelial collagenous band in colon biopsies with collagenous colitis (CC) and incomplete CC (CCi). The software measures the thickness of the collagenous band on microscopic slides...
Autores principales: | Fiehn, Anne-Marie Kanstrup, Kristensson, Martin, Engel, Ulla, Munck, Lars Kristian, Holck, Susanne, Engel, Peter Johan Heiberg |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833367/ https://www.ncbi.nlm.nih.gov/pubmed/27114713 http://dx.doi.org/10.2147/CEG.S101219 |
Ejemplares similares
-
Computer-assisted stereology and automated image analysis for quantification of tumor infiltrating lymphocytes in colon cancer
por: Eriksen, Ann C., et al.
Publicado: (2017) -
European guidelines on microscopic colitis: United European Gastroenterology and European Microscopic Colitis Group statements and recommendations
por: Miehlke, Stephan, et al.
Publicado: (2021) -
Automated and unsupervised detection of malarial parasites in microscopic images
por: Purwar, Yashasvi, et al.
Publicado: (2011) -
Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions
por: Kuska, Matheus, et al.
Publicado: (2015) -
Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting
por: Gu, Muxin, et al.
Publicado: (2018)