Noise resistance analysis of wavelet-based channel energy feature for breast lesion classification on ultrasound images

Yueh Ching Liao, Shu Mei Guo, King Chu Hung, Po Chin Wang, Tsung Lung Yang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Wavelet-based channel energy with low cost and high efficacy is a valuable feature for the differential diagnoses between benign and malignant breast lesions. The new feature is a contour approach that generally suffers from lacking a reliable contour detection algorithm with convincing results due to extreme noise. For investigating a procedure suitable for clinical application, noise resistance capability of the new feature is evaluated in this study. The evaluation system consists of two snake-based contour detection algorithms associated with two pre-processes. These combinations can produce four test datasets of contour sonogram. Classification performance evaluation is based on a probabilistic neural network and a genetic algorithm used for distribution parameter determination.

原文English
主出版物標題Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
頁面549-558
頁數10
版本PART 2
DOIs
出版狀態Published - 2010
事件11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
持續時間: 2010 九月 212010 九月 24

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
6298 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other11th Pacific Rim Conference on Multimedia, PCM 2010
國家China
城市Shanghai
期間10-09-2110-09-24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

指紋 深入研究「Noise resistance analysis of wavelet-based channel energy feature for breast lesion classification on ultrasound images」主題。共同形成了獨特的指紋。

引用此