https://scholars.lib.ntu.edu.tw/handle/123456789/478394
標題: | Classification of benign and malignant breast tumors in ultrasound images with posterior acoustic shadowing using half-contour features | 作者: | Zhou Z. Wu S. KING-JEN CHANG Chen W.-R. Chen Y.-S. WEN-HUNG KUO Lin C.-C. Tsui P.-H. |
關鍵字: | Breast tumor; Half-contour feature; Posterior acoustic shadowing (PAS); Standard deviation of degree (SDD); Ultrasound | 公開日期: | 2015 | 出版社: | Springer Berlin Heidelberg | 卷: | 35 | 期: | 2 | 起(迄)頁: | 178-187 | 來源出版物: | Journal of Medical and Biological Engineering | 摘要: | Posterior acoustic shadowing (PAS) can bias breast tumor segmentation and classification in ultrasound images. In this paper, half-contour features are proposed to classify benign and malignant breast tumors with PAS, considering the fact that the upper half of the tumor contour is less affected by PAS. Adaptive thresholding and disk expansion are employed to detect tumor contours. Based on the detected full contour, the upper half contour is extracted. For breast tumor classification, six quantitative feature parameters are analyzed for both full contours and half contours, including standard deviation of degree (SDD), which is proposed to describe tumor irregularity. Fifty clinical cases (40 with PAS and 10 without PAS) were used. Tumor circularity (TC) and SDD were both effective full- and half-contour parameters in classifying images without PAS. Half-contour TC [74 % accuracy, 72 % sensitivity, 76 % specificity, 0.78 area under the receiver operating characteristic curve (AUC), p>0.05] significantly improved the classification of breast tumors with PAS compared to that with full-contour TC (54 % accuracy, 56 % sensitivity, 52 % specificity, 0.52 AUC, p>0.05). Half-contour SDD (72 % accuracy, 76 % sensitivity, 68 % specificity, 0.81 AUC, p<0.05) improved the classification of breast tumors with PAS compared to that with full-contour SDD (62 % accuracy, 80 % sensitivity, 44 % specificity, 0.61 AUC, p>0.05). The proposed half-contour TC and SDD may be useful in classifying benign and malignant breast tumors in ultrasound images affected by PAS. ? The Author(s) 2015. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928572692&doi=10.1007%2fs40846-015-0031-x&partnerID=40&md5=d4003443f346d33b8cb94a64c8fc092d https://scholars.lib.ntu.edu.tw/handle/123456789/478394 |
ISSN: | 1609-0985 | DOI: | 10.1007/s40846-015-0031-x | SDG/關鍵字: | Classification (of information); Image segmentation; Medical imaging; Statistics; Tumors; Ultrasonic applications; Ultrasonics; Adaptive thresholding; Breast tumor; Breast tumor classifications; Contour features; Posterior acoustic shadowing (PAS); Quantitative features; Receiver operating characteristic curves; Standard deviation; Image classification; area under the curve; Article; breast cancer; cancer classification; clinical article; clinical feature; controlled study; diagnostic accuracy; diagnostic test accuracy study; echography; female; half contour feature; human; human tissue; posterior acoustic shadowing; quantitative analysis; receiver operating characteristic; sensitivity and specificity; standard |
顯示於: | 醫學系 |
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