Abstract

Expert radiologists are able to quickly detect atypical features in chest radiographs because they have developed a sense of what textures and contours are typical for each anatomic region by viewing a large set of normal chest radiographs.

Original languageEnglish (US)
Title of host publication2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Pages193-198
Number of pages6
DOIs
StatePublished - Nov 12 2012
Event2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 - Montreal, QC, Canada
Duration: Jul 2 2012Jul 5 2012

Publication series

Name2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

Other

Other2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
CountryCanada
CityMontreal, QC
Period7/2/127/5/12

Keywords

  • Computer aided diagnosis
  • X-rays
  • biomedical imaging
  • machine learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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  • Cite this

    Alzubaidi, M., Balasubramanian, V. N., Patel, A., Panchanathan, S., & Black, J. A. (2012). Efficient atypicality detection in chest radiographs. In 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (pp. 193-198). [6310544] (2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012). https://doi.org/10.1109/ISSPA.2012.6310544