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Image analysis based grading of bladder carcinoma. Comparison of object, texture and graph based methods and their reproducibility
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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1997 (English)In: Analytical Cellular Pathology, ISSN 0921-8912, E-ISSN 1878-3651, Vol. 15, no 1, 1-18 p.Article in journal (Refereed) Published
Abstract [en]

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

Place, publisher, year, edition, pages
IOS PRESS , 1997. Vol. 15, no 1, 1-18 p.
Keyword [en]
image analysis; feature measurements; grading of bladder carcinoma; reproducibility; TUMOR-SUPPRESSOR GENE; HISTOLOGICAL SECTIONS; SPANNING TREE; CANCER; P53; CLASSIFICATION; PATHOLOGISTS
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-28585OAI: oai:DiVA.org:uu-28585DiVA: diva2:56481
Note
Addresses: Choi HK, UPPSALA UNIV, CTR IMAGE ANAL, UPPSALA, SWEDEN. UMEA UNIV, DEPT PATHOL, S-90187 UMEA, SWEDEN. UNIV UPPSALA HOSP, DEPT UROL, S-75185 UPPSALA, SWEDEN. UNIV UPPSALA HOSP, DEPT PATHOL, S-75185 UPPSALA, SWEDEN. INJE UNIV, SCH INFORMAT & COMPAvailable from: 2008-10-17 Created: 2008-10-17 Last updated: 2017-12-07Bibliographically approved

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