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Entropy rates of physiological aging on microscopy
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-4255-5130
2016 (English)In: Proceedings of 2016 IEEE Symposium Series on Computational Intelligence, Institute of Electrical and Electronics Engineers (IEEE), 2016Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for computing entropy rates of images by modeling  a stationary Markov chain constructed from a weighted graph. The  proposed method was applied to the quantification of the complex behavior of the growing rates of physiological aging of Caenorhabditis elegans (C. elegans) on microscopic images, which has been considered as one of the most challenging problems in the search for metrics that can be used for identifying differences among stages in high- throughput and high-content images of physiological aging.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016.
Keyword [en]
Entropy rate, Markov chain, Kullback-Leibler diver- gence, physiological aging, microscopic images
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-133873DOI: 10.1109/SSCI.2016.7849867ISI: 000400488300043OAI: oai:DiVA.org:liu-133873DiVA: diva2:1064792
Conference
2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece, December 6-9, 2016
Available from: 2017-01-13 Created: 2017-01-13 Last updated: 2017-06-13Bibliographically approved

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Pham, Tuan D.
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CiteExportLink to record
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Citation style
  • apa
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