Mitosis cell identification with conditional random fields

Lichen Liang, Xiaobo Zhou, Fuhai Li, Stephen T. Wong, Jeremy Huckins, Randy W. King

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

Correct identification of mitosis phase of individual cells in a large population imaged via time-lapse fluorescence microscopy is important for drug discovery and cell cycle study. The large amount of image data makes manually analysis unrealistic, which calls for automatic systems for mitosis cell identification. The automatic system has to be able to handle two challenges: small size of training samples and datasets obtained under different conditions. Existing methods are rather limited in dealing with these two challenges. The paper introduces a Conditional Random Fields (CRFs) model, which can well handle the two requirements.

Original languageEnglish (US)
Title of host publication2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-12
Number of pages4
ISBN (Print)9781424418138
DOIs
StatePublished - Jan 1 2007
Event2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA - Bethesda, MD, United States
Duration: Nov 8 2007Nov 9 2007

Other

Other2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
CountryUnited States
CityBethesda, MD
Period11/8/0711/9/07

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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