A New Method for Segmentation of Colour Images Applied to Immunohistochemically Stained Cell Nuclei
A new method for segmenting images of immunohistochemically stained cell nuclei is presented. The aim is to distinguish between cell nuclei with a positive staining reaction and other cell nuclei, and to make it possible to quantify the reaction. First, a new supervised algorithm for creating a pixe...
Main Authors: | Petter Ranefall, Lars Egevad, Bo Nordin, Ewert Bengtsson |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
1997-01-01
|
Series: | Analytical Cellular Pathology |
Online Access: | http://dx.doi.org/10.1155/1997/304073 |
Similar Items
-
Automatic Quantification of Immunohistochemically Stained Cell Nuclei Using Unsupervised Image Analysis
by: Petter Ranefall, et al.
Published: (1998-01-01) -
Automatic Quantification of Immunohistochemically Stained Cell Nuclei Based on Standard Reference Cells
by: Petter Ranefall, et al.
Published: (1998-01-01) -
Automatic nuclei segmentation in H&E stained breast cancer histopathology images.
by: Mitko Veta, et al.
Published: (2013-01-01) -
Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images
by: Massimo Salvi, et al.
Published: (2018-06-01) -
Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium
by: Konsti Juho, et al.
Published: (2012-03-01)