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

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

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Conference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
頁面223-226
頁數4
DOIs
出版狀態Published - 2007 十二月 1
事件IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007 - Montreal, QC, Canada
持續時間: 2007 十一月 272007 十一月 30

出版系列

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

Other

OtherIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
國家/地區Canada
城市Montreal, QC
期間07-11-2707-11-30

All Science Journal Classification (ASJC) codes

  • 硬體和架構
  • 生物醫學工程

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