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Microscopy image enhancement for cost-effective cervical cancer screening
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2015 (English)In: Image Analysis, Springer, 2015, 440-451 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a simple and fast method for microscopy imageenhancement and quantitatively evaluate its performance on a databasecontaining cell images obtained from microscope setups of several levelsof quality. The method utilizes an efficiently and accurately estimated rel-ative modulation transfer function to generate images of higher quality,starting from those of lower quality, by filtering in the Fourier domain.We evaluate the method visually and based on correlation coefficientand normalized mutual information. We conclude that enhanced imagesexhibit high similarity, both visually and in terms of information con-tent, with acquired high quality images. This is an important result forthe development of a cost-effective screening system for cervical cancer.

Place, publisher, year, edition, pages
Springer, 2015. 440-451 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9127
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-267293DOI: 10.1007/978-3-319-19665-7_37ISBN: 978-3-319-19664-0 (print)OAI: oai:DiVA.org:uu-267293DiVA: diva2:872646
Conference
SCIA 2015, June 15–17, Copenhagen, Denmark
Funder
Swedish Research CouncilVINNOVA
Available from: 2015-06-09 Created: 2015-11-19 Last updated: 2017-02-08Bibliographically approved

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Lindblad, JoakimBengtsson, EwertSladoje, Nataša

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CiteExportLink to record
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