Quantitative breast lesion classification based on multichannel distributions in shear-wave imaging

Chung Ming Lo, Yi Chen Lai, Yi Hong Chou, Ruey Feng Chang

研究成果: 雜誌貢獻文章同行評審

24 引文 斯高帕斯(Scopus)

摘要

Background and objectives: A computer-aided diagnosis (CAD) system based on the quantified color distributions in shear-wave elastography (SWE) was developed to evaluate the malignancies of breast tumors. Methods: For 57 benign and 31 malignant tumors, 18 SWE features were extracted from regions of interest (ROI), including the tumor and peritumoral areas. In the ROI, a histogram in each color channel was described using moments such as the mean, variance, skewness, and kurtosis. Moreover, three color channels were combined as a vector to evaluate tissue elasticity. The SWE features were then combined in a logistic regression classifier for breast tumor classification. Results: The performance of the CAD system achieved an accuracy of 81%. Combining the CAD system with a BI-RADS assessment obtained an Az improvement from 0.77 to 0.89 (p-value
原文英語
頁(從 - 到)354-361
頁數8
期刊Computer Methods and Programs in Biomedicine
122
發行號3
DOIs
出版狀態已發佈 - 12月 2015

ASJC Scopus subject areas

  • 軟體
  • 電腦科學應用
  • 健康資訊學

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