Open this publication in new window or tab >>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.
Series
Biomedical Imaging: From Nano to Macro, ISSN 1945-7936 ; 7
Keywords
Synthetic cell images, bright-field, cervical cancer
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
urn:nbn:se:uu:diva-126066 (URN)978-1-4244-4126-6 (ISBN)
Conference
ISBI 2010
2010-06-022010-06-022022-01-28Bibliographically approved