Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features

A. Sobhi-Afshar, N. Kehtarnavaz, M. Akins, K. Luby-Phelps, M. Mahendroo

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

3 Scopus citations

Abstract

This paper presents an image processing system for detecting mouse preterm labor using Second Harmonic Generation (SHG) microscopy images. Two classes of SHG images are considered: normal pregnant cervix and premature cervical remodeling induced by Mifepristone. Among the commonly used texture features in image processing, wavelet-based texture features together with previously utilized image features for SHG microscopy of artificial collagen gels are identified to form an effective set of features for distinguishing the two classes of images. The results obtained indicate that correct detection rates above 98% are achievable.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages674-677
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CountryUnited States
CityDallas, TX
Period3/14/103/19/10

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Keywords

  • Image texture features
  • Preterm labor bio imaging application
  • Second harmonic generation imaging
  • Wavelet-based texture features

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Sobhi-Afshar, A., Kehtarnavaz, N., Akins, M., Luby-Phelps, K., & Mahendroo, M. (2010). Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 674-677). [5495114] https://doi.org/10.1109/ICASSP.2010.5495114