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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 2016-05 上傳時間 19-Sep-2019 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 資料類型 article dc.contributor 圖檔所 - dc.creator (作者) 羅崇銘 - dc.creator (作者) Lo, Chung-Ming - dc.creator (作者) Chang*, Ruey-Feng - dc.creator (作者) Chan, Siwa - dc.creator (作者) Yang, Ya-Wen - dc.creator (作者) Chang, Yeun-Chung - dc.creator (作者) Huang, Chiun-Sheng - dc.creator (作者) Jou, Yi-Sheng - dc.date (日期) 2016-05 - dc.date.accessioned 19-Sep-2019 09:54:13 (UTC+8) - dc.date.available 19-Sep-2019 09:54:13 (UTC+8) - dc.date.issued (上傳時間) 19-Sep-2019 09:54:13 (UTC+8) - dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/126331 - dc.description.abstract (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. en dc.relation (關聯) Ultrasound in Medicine and Biology, Vol.42, No.5, pp.1201-1210 - dc.subject (關鍵詞) Breast cancer ; Automated breast ultrasound ; Computer-aided detection ; Tumor mapping - dc.title (題名) Feasibility Testing: Three-dimensional Tumor Mapping in Different Orientations of Automated Breast Ultrasound - dc.type (資料類型) article -
