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Automatic in vivo microscopy video mining for leukocytes

Published: 01 June 2007 Publication History

Abstract

Biological videos are very different from conventional videos. Automatic spatiotemporal mining of moving cells from in vivo microscopy videos is extremely difficult because of the severe noises, camera/subject movements, deformations, and strong dependencies on microscopy operators. In this paper, we present an automatic spatiotemporal mining system of rolling and adherent leukocytes for intravital videos. The magnitude of leukocyte adhesion and decrease in rolling velocity are common interests in inflammation response studies. Currently, there is no existing system which is perfect for such purposes. Several approaches have been proposed for tracking leukocytes. However, these approaches can either only track leukocytes that roll along the centerline of the blood vessel, or can only handle leukocytes with fixed morphologies. In addition, the camera/subject movement is a severe problem which occurs frequently while analyzing in vivo microscopy videos. In this paper, we proposed a new method for automatic recognition of non-adherent and adherent leukocytes. The proposed method includes three steps: (1) camera/subject movement alignment; (2) moving leukocytes detection; (3) adherent leukocytes detection. The experimental results demonstrate the effectiveness of the proposed method.

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  • (2012)A study on video data miningInternational Journal of Multimedia Information Retrieval10.1007/s13735-012-0016-21:3(153-172)Online publication date: 25-Aug-2012
  • (2011)A Brief Review on Frequent Pattern Mining2011 3rd International Workshop on Intelligent Systems and Applications10.1109/ISA.2011.5873451(1-4)Online publication date: May-2011
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Published In

cover image ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter  Volume 9, Issue 1
Special issue on data mining for health informatics
June 2007
58 pages
ISSN:1931-0145
EISSN:1931-0153
DOI:10.1145/1294301
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2007
Published in SIGKDD Volume 9, Issue 1

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Author Tags

  1. leukocytes
  2. temporal and spatial mining of biological videos

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View all
  • (2016)Study and analysis of data mining for healthcare2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)10.1109/CIST.2016.7804994(77-82)Online publication date: Oct-2016
  • (2012)A study on video data miningInternational Journal of Multimedia Information Retrieval10.1007/s13735-012-0016-21:3(153-172)Online publication date: 25-Aug-2012
  • (2011)A Brief Review on Frequent Pattern Mining2011 3rd International Workshop on Intelligent Systems and Applications10.1109/ISA.2011.5873451(1-4)Online publication date: May-2011
  • (2011)Influence of Confocal Scanning Laser Microscopy specific acquisition parameters on the detection and matching of Speeded-Up Robust FeaturesUltramicroscopy10.1016/j.ultramic.2011.01.014111:5(364-374)Online publication date: Apr-2011

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