Breast lesions classification using modified non-recursive discrete biorthogonal wavelet transform

Hsieh Wei Lee, Sheau-Fang Lei, King Chu Hung, Bin-Da Liu

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

2 Citations (Scopus)

Abstract

Infiltrative nature on ultrasound images is a significant feature implying a malignant breast lesion. Characterizing the infiltrative nature with high effective and computationally inexpensive features is crucial for realizing computer-aided diagnosis. In this paper, the infiltrative nature is sighted as irregularly local variance in a 1-D signal, which is induced due to the existence of some high octave energies. These energies are extractable by a modified 1-D non-recursive discrete biorthogonal wavelet transform. The experimental results show that the proposed wavelet-based features have high individual feature efficacy and the capability of improving combined feature performance.

Original languageEnglish
Title of host publicationConference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
Pages223-226
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
EventIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007 - Montreal, QC, Canada
Duration: 2007 Nov 272007 Nov 30

Publication series

NameConference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007

Other

OtherIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
CountryCanada
CityMontreal, QC
Period07-11-2707-11-30

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Biomedical Engineering

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