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.

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Bibliographic Details
Main Authors: Petter Ranefall, Kenneth Wester, Christer Busch, Per-Uno Malmström, Ewert Bengtsson
Format: Article
Language:English
Published: Wiley 1998-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/1998/490585
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author Petter Ranefall
Kenneth Wester
Christer Busch
Per-Uno Malmström
Ewert Bengtsson
author_facet Petter Ranefall
Kenneth Wester
Christer Busch
Per-Uno Malmström
Ewert Bengtsson
author_sort Petter Ranefall
collection DOAJ
description 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.
format Article
id doaj-art-77c8e69bbe3540f3870ea87613d70171
institution Kabale University
issn 0921-8912
1878-3651
language English
publishDate 1998-01-01
publisher Wiley
record_format Article
series Analytical Cellular Pathology
spelling doaj-art-77c8e69bbe3540f3870ea87613d701712025-02-03T07:24:35ZengWileyAnalytical Cellular Pathology0921-89121878-36511998-01-01172839210.1155/1998/490585Automatic Quantification of Microvessels Using Unsupervised Image AnalysisPetter Ranefall0Kenneth Wester1Christer Busch2Per-Uno Malmström3Ewert Bengtsson4Centre for Image Analysis, Uppsala University, SwedenDepartment of Pathology, Uppsala University, SwedenDepartment of Pathology, Uppsala University, SwedenDepartment of Urology, Uppsala University, SwedenCentre for Image Analysis, Uppsala University, SwedenAn 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.http://dx.doi.org/10.1155/1998/490585
spellingShingle Petter Ranefall
Kenneth Wester
Christer Busch
Per-Uno Malmström
Ewert Bengtsson
Automatic Quantification of Microvessels Using Unsupervised Image Analysis
Analytical Cellular Pathology
title Automatic Quantification of Microvessels Using Unsupervised Image Analysis
title_full Automatic Quantification of Microvessels Using Unsupervised Image Analysis
title_fullStr Automatic Quantification of Microvessels Using Unsupervised Image Analysis
title_full_unstemmed Automatic Quantification of Microvessels Using Unsupervised Image Analysis
title_short Automatic Quantification of Microvessels Using Unsupervised Image Analysis
title_sort automatic quantification of microvessels using unsupervised image analysis
url http://dx.doi.org/10.1155/1998/490585
work_keys_str_mv AT petterranefall automaticquantificationofmicrovesselsusingunsupervisedimageanalysis
AT kennethwester automaticquantificationofmicrovesselsusingunsupervisedimageanalysis
AT christerbusch automaticquantificationofmicrovesselsusingunsupervisedimageanalysis
AT perunomalmstrom automaticquantificationofmicrovesselsusingunsupervisedimageanalysis
AT ewertbengtsson automaticquantificationofmicrovesselsusingunsupervisedimageanalysis