Cargando…
Automatic Quantification of Microvessels Using Unsupervised Image Analysis
An automatic method for quantification of images of microvessels by computing area proportions and number of objects is presented. The objects are segmented from the background using dynamic thresholding of the average component size histogram. To be able to count the objects, fragmented objects are...
Autores principales: | Ranefall, Petter, Wester, Kenneth, Busch, Christer, Malmström, Per-Uno, Bengtsson, Ewert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
1998
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611099/ https://www.ncbi.nlm.nih.gov/pubmed/10052632 http://dx.doi.org/10.1155/1998/490585 |
Ejemplares similares
-
Automatic Quantification of Immunohistochemically Stained Cell Nuclei Using Unsupervised Image Analysis
por: Ranefall, Petter, et al.
Publicado: (1998) -
Automatic Quantification of Immunohistochemically Stained Cell Nuclei Based on Standard Reference Cells
por: Ranefall, Petter, et al.
Publicado: (1998) -
Automatic quantification of microvessel density in urinary bladder carcinoma
por: Wester, K, et al.
Publicado: (1999) -
Image Analysis Based Grading of Bladder Carcinoma. Comparison of Object, Texture and Graph Based Methods and Their Reproducibility
por: Choi, Heung‐Kook, et al.
Publicado: (1997) -
A New Method for Segmentation of Colour Images Applied to Immunohistochemically Stained Cell Nuclei
por: Ranefall, Petter, et al.
Publicado: (1997)