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PAPSYNTH: Simulated Bright-field Images of Cervical Smears
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. (Centrum för Bildanalys)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. (Centrum för Bildanalys)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. (Centrum för Bildanalys)
2010 (English)In: 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a simulator for bright-field microscope imagesof ”Pap-smears”, which is the most common technique usedtoday for cervical cancer screening. Lacking a ground truth for realimages, these realistic synthetic images may be used to tune and validateimage analysis and processing algorithms. We demonstrate thisfor two tasks: uncorrelated noise removal and nucleus segmentation.The simulator is a part of a larger project, aiming at automatic, costefficient screening for cervical cancer in developing countries.In this paper, we present a simulator for bright-field microscope imagesof ”Pap-smears”, which is the most common technique usedtoday for cervical cancer screening. Lacking a ground truth for realimages, these realistic synthetic images may be used to tune and validateimage analysis and processing algorithms. We demonstrate thisfor two tasks: uncorrelated noise removal and nucleus segmentation.The simulator is a part of a larger project, aiming at automatic, costefficient screening for cervical cancer in developing countries.

Place, publisher, year, edition, pages
2010.
Series
Biomedical Imaging: From Nano to Macro, ISSN 1945-7936 ; 7
Keyword [en]
Synthetic cell images, bright-field, cervical cancer
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-126066ISBN: 978-1-4244-4126-6 (print)OAI: oai:DiVA.org:uu-126066DiVA: diva2:321740
Conference
ISBI 2010
Available from: 2010-06-02 Created: 2010-06-02 Last updated: 2017-02-08Bibliographically approved
In thesis
1. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening
Open this publication in new window or tab >>Image Analysis in Support of Computer-Assisted Cervical Cancer Screening
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Cervical cancer is a disease that annually claims the lives of over a quarter of a million women. A substantial number of these deaths could be prevented if population wide cancer screening, based on the Papanicolaou test, were globally available. The Papanicolaou test involves a visual review of cellular material obtained from the uterine cervix. While being relatively inexpensive from a material standpoint, the test requires highly trained cytology specialists to conduct the analysis. There is a great shortage of such specialists in developing countries, causing these to be grossly overrepresented in the mortality statistics. For the last 60 years, numerous attempts at constructing an automated system, able to perform the screening, have been made. Unfortunately, a cost-effective, automated system has yet to be produced.

In this thesis, a set of methods, aimed to be used in the development of an automated screening system, are presented. These have been produced as part of an international cooperative effort to create a low-cost cervical cancer screening system. The contributions are linked to a number of key problems associated with the screening: Deciding which areas of a specimen that warrant analysis, delineating cervical cell nuclei, rejecting artefacts to make sure that only cells of diagnostic value are included when drawing conclusions regarding the final diagnosis of the specimen. Also, to facilitate efficient method development, two methods for creating synthetic images that mimic images acquired from specimen are described.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2013. 95 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1106
Keyword
Image analysis, cervical cancer, pap-smear, synthetic images, screening, image processing, cytometry
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
urn:nbn:se:uu:diva-212518 (URN)978-91-554-8828-4 (ISBN)
Public defence
2014-02-07, Room 2446, Polacksbacken, Lägerhyddsvägen 2, Uppsala, 13:15 (English)
Opponent
Supervisors
Funder
Vinnova, 2008-01712Swedish Research Council, 2008-2738
Available from: 2014-01-16 Created: 2013-12-11 Last updated: 2014-07-21

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Malm, PatrikBengtsson, Ewert

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