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Automatic quantification of microvessels using unsupervised image analysis
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
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1998 (English)In: Analytical Cellular Pathology, ISSN 0921-8912, E-ISSN 1878-3651, Vol. 17, no 2, 83-92 p.Article in journal (Refereed) Published
Abstract [en]

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

Place, publisher, year, edition, pages
IOS PRESS , 1998. Vol. 17, no 2, 83-92 p.
Keyword [en]
TUMOR ANGIOGENESIS; PROGNOSTIC VALUE; BREAST CARCINOMAS; DENSITY; CANCER; METASTASIS; PREDICTOR; SECTIONS; STAGE
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Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-28577OAI: oai:DiVA.org:uu-28577DiVA: diva2:56473
Note
Addresses: Ranefall P, Uppsala Univ, Ctr Image Anal, Lagerhyddvagen 17, S-75237 Uppsala, Sweden. Uppsala Univ, Ctr Image Anal, S-75237 Uppsala, Sweden. Uppsala Univ, Dept Pathol, Uppsala, Sweden. Uppsala Univ, Dept Urol, Uppsala, Sweden.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2017-12-07Bibliographically approved

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Ranefall, Petter

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