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Grading of transitional cell bladder carcinoma by image analysis of histological sections  
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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1995 (English)In: Analytical Cellular Pathology, ISSN 0921-8912, E-ISSN 1878-3651, Vol. 8, no 2, 135-158 p.Article in journal (Refereed) Published
Abstract [en]

Image analysis of histological sections was used to achieve a more objective malignancy grading of transitional cell carcinoma of the bladder. Images from Feulgen-stained sections from a clinical material of 197 tumours were analyzed. Features at various

Place, publisher, year, edition, pages
ELSEVIER SCI PUBL IRELAND LTD , 1995. Vol. 8, no 2, 135-158 p.
Keyword [en]
IMAGE ANALYSIS; FEATURE MEASUREMENTS; MULTIVARIATE STATISTICAL METHODS; MALIGNANCY GRADING; COMPUTER-BASED CLASSIFICATION; TRANSITIONAL CELL BLADDER CARCINOMA; TUMORS; PROGNOSIS; CANCER
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Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-28597OAI: oai:DiVA.org:uu-28597DiVA: diva2:56493
Note
Addresses: JARKRANS T, UPPSALA UNIV, CTR IMAGE ANAL, LAGERHYDDVAGEN 17, S-75237 UPPSALA, SWEDEN. UNIV UPPSALA HOSP, DEPT PATHOL, S-75185 UPPSALA, SWEDEN. UNIV UPPSALA HOSP, DEPT UROL, S-75185 UPPSALA, SWEDEN.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2017-12-07Bibliographically approved

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