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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/126331

    Title: Feasibility Testing: Three-dimensional Tumor Mapping in Different Orientations of Automated Breast Ultrasound
    Authors: 羅崇銘
    Lo, Chung-Ming
    Chang*, Ruey-Feng
    Chan, Siwa
    Yang, Ya-Wen
    Chang, Yeun-Chung
    Huang, Chiun-Sheng
    Jou, Yi-Sheng
    Contributors: 圖檔所
    Keywords: Breast cancer;Automated breast ultrasound;Computer-aided detection;Tumor mapping
    Date: 2016-05
    Issue Date: 2019-09-19 09:54:13 (UTC+8)
    Abstract: 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.
    Relation: Ultrasound in Medicine and Biology, Vol.42, No.5, pp.1201-1210
    Data Type: article
    Appears in Collections:[圖書資訊與檔案學研究所] 期刊論文

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