Cargando…
Microarray Core Detection by Geometric Restoration
Whole-slide imaging of tissue microarrays (TMAs) holds the promise of automated image analysis of a large number of histopathological samples from a single slide. This demands high-throughput image processing to enable analysis of these tissue samples for diagnosis of cancer and other conditions. In...
Autores principales: | Azar, Jimmy C., Busch, Christer, Carlbom, Ingrid B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605747/ https://www.ncbi.nlm.nih.gov/pubmed/22684152 http://dx.doi.org/10.3233/ACP-2012-0067 |
Ejemplares similares
-
Microarray Core Detection by Geometric Restoration
por: Azar, Jimmy C., et al.
Publicado: (2013) -
Histological stain evaluation for machine learning applications
por: Azar, Jimmy C., et al.
Publicado: (2013) -
Automatic Registration and Error Detection of Multiple Slices Using Landmarks
por: Frimmel, Hans, et al.
Publicado: (2001) -
Cytology Microarrays
por: Korbelik, J., et al.
Publicado: (2007) -
A haptics-assisted cranio-maxillofacial surgery planning system for restoring skeletal anatomy in complex trauma cases
por: Olsson, Pontus, et al.
Publicado: (2013)