Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis

Huihua Kenny Chiang*, Chui Mei Tiu, Guo Shian Hung, Shiao Chi Wu, Tiffany Y. Chang, Yi Hong Chou

*此作品的通信作者

研究成果: Conference article同行評審

9 引文 斯高帕斯(Scopus)

摘要

To assist the ultrasound (US) diagnosis of solid breast tumors by using stepwise logistic regression (SLR) analysis of tumor contour features, we reviewed 111 digitized US images of breast tumors. They were 40 benign breast tumors (fibroadenomas), and 71 infiltrative ductal carcinomas. The contour features were calculated by the radial length. A SLR model with contour features was used to classify tumors as benign or malignant. The accuracy of our model with contour features for classifying malignancies was 91.0% (101 of 111 tumors), the sensitivity was 97.2% (69 of 71), the specificity was 80.0% (32 of 40).

原文English
頁(從 - 到)1303-1306
頁數4
期刊Proceedings of the IEEE Ultrasonics Symposium
2
DOIs
出版狀態Published - 10月 2001
事件2001 Ultrasonics Symposium - Atlanta, GA, United States
持續時間: 6 10月 200110 10月 2001

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