Cargando…
Focused scores enable reliable discrimination of small differences in steatosis
BACKGROUND: Automated image analysis enables quantitative measurement of steatosis in histological images. However, spatial heterogeneity of steatosis can make quantitative steatosis scores unreliable. To improve the reliability, we have developed novel scores that are “focused” on steatotic tissue...
Autores principales: | Homeyer, André, Hammad, Seddik, Schwen, Lars Ole, Dahmen, Uta, Höfener, Henning, Gao, Yan, Dooley, Steven, Schenk, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146776/ https://www.ncbi.nlm.nih.gov/pubmed/30231920 http://dx.doi.org/10.1186/s13000-018-0753-5 |
Ejemplares similares
-
Artificial Intelligence in Pathology: From Prototype to Product
por: Homeyer, André, et al.
Publicado: (2021) -
Quantification of Hepatic Vascular and Parenchymal Regeneration in Mice
por: Xie, Chichi, et al.
Publicado: (2016) -
Periportal steatosis in mice affects distinct parameters of pericentral drug metabolism
por: Albadry, Mohamed, et al.
Publicado: (2022) -
A comparison of sampling strategies for histological image analysis
por: Homeyer, André, et al.
Publicado: (2012) -
A fast and robust hepatocyte quantification algorithm including vein processing
por: Ivanovska, Tetyana, et al.
Publicado: (2010)