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题名:	Feasibility Testing: Three-dimensional Tumor Mapping in Different Orientations of Automated Breast Ultrasound
作者:	羅崇銘 Lo, Chung-Ming Chang*, Ruey-Feng Chan, Siwa Yang, Ya-Wen Chang, Yeun-Chung Huang, Chiun-Sheng Jou, Yi-Sheng
贡献者:	圖檔所
关键词:	Breast cancer;Automated breast ultrasound;Computer-aided detection;Tumor mapping
日期:	2016-05
上传时间:	2019-09-19 09:54:13 (UTC+8)
摘要:	A tumor-mapping algorithm was proposed to identify the same regions in different passes of automated breast ultrasound (ABUS). A total of 53 abnormal passes with 41 biopsy-proven tumors and 13 normal passes were collected. After computer-aided tumor detection, a mapping pair was composed of a detected region in one pass and another region in another pass. Location criteria, including the radial position as on a clock, the relative distance and the distance to the nipple, were used to extract mapping pairs with close regions. Quantitative intensity, morphology, texture and location features were then combined in a classifier for further classification. The performance of the classifier achieved a mapping rate of 80.39% (41/51), with an error rate of 5.97% (4/67). The trade-offs between the mapping and error rates were evaluated, and Az = 0.9094 was obtained. The proposed tumor-mapping algorithm was capable of automatically providing location correspondence information that would be helpful in reviews of ABUS examinations.
關聯:	Ultrasound in Medicine and Biology, Vol.42, No.5, pp.1201-1210
数据类型:	article
显示于类别:	[圖書資訊與檔案學研究所] 期刊論文

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