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https://ah.lib.nccu.edu.tw/handle/140.119/126331
題名: | 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 |
貢獻者: | 圖檔所 | 關鍵詞: | Breast cancer ; Automated breast ultrasound ; Computer-aided detection ; Tumor mapping | 日期: | May-2016 | 上傳時間: | 19-Sep-2019 | 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 | 資料類型: | article |
Appears in Collections: | 期刊論文 |
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