Image Analysis Based Grading of Bladder Carcinoma. Comparison of Object, Texture and Graph Based Methods and Their Reproducibility
The possibility that computerized image analysis could increase the reproducibility of grading of bladder carcinoma as compared to conventional subjective grading made by pathologists was investigated. Object, texture and graph based analysis were carried out from Feulgen stained histological tissue...
Saved in:
Main Authors: | Heung‐Kook Choi, Torsten Jarkrans, Ewert Bengtsson, Janos Vasko, Kenneth Wester, Per-Uno Malmström, Christer Busch |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
1997-01-01
|
Series: | Analytical Cellular Pathology |
Online Access: | http://dx.doi.org/10.1155/1997/147187 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic Quantification of Microvessels Using Unsupervised Image Analysis
by: Petter Ranefall, et al.
Published: (1998-01-01) -
Automatic Quantification of Immunohistochemically Stained Cell Nuclei Using Unsupervised Image Analysis
by: Petter Ranefall, et al.
Published: (1998-01-01) -
Explicit Solution of Telegraph Equation Based on Reproducing Kernel Method
by: Mustafa Inc, et al.
Published: (2012-01-01) -
Duality by reproducing kernels
by: A. Shlapunov, et al.
Published: (2003-01-01) -
Impact of Occlusion Masks on Gender Classification from Iris Texture
by: Claudio Yáñez, et al.
Published: (2024-01-01)