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Recognizing signs of malignancy: The quest for computer assisted cancer screening and diagnosis systems
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.
2010 (English)In: International Conference on Computational Intelligence and Computing Research (ICCIC), 2010 IEEE, Coimbatore, India: IEEE Digital Library , 2010, 1-6 p.Conference paper, Published paper (Refereed)
Abstract [en]

Almost all cancers are diagnosed through visual examination of microscopic tissue samples. Visual screening of cell samples, so called PAP-smears, has drastically reduced the incidence of cervical cancers in countries that have implemented population wide screening programs. But the visual examination is tedious, subjective and expensive. There has therefore been much research aiming for computer assisted or automated cell image analysis systems for cancer detection and diagnosis. Progress has been made but still most of cytology and pathology is done visually. In this presentation I will discuss some of the major issues involved, examine some of the proposed solutions and give some comments about the state of the art.

Place, publisher, year, edition, pages
Coimbatore, India: IEEE Digital Library , 2010. 1-6 p.
Keyword [en]
Cervical cancer, PAP-smears, automated microscopy, image analysis, screening
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-147863ISBN: 978-1-4244-5965-0 (print)OAI: oai:DiVA.org:uu-147863DiVA: diva2:401015
Available from: 2011-03-01 Created: 2011-03-01 Last updated: 2017-02-08Bibliographically approved

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Bengtsson, Ewert

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