https://scholars.lib.ntu.edu.tw/handle/123456789/557488
標題: | Computer-aided diagnosis of sonographic liver cirrhosis: A spleen-reference approach | 作者: | PEI-MING YANG CHUNG-MING CHEN Lu, T.-W. TUNG-WU LU |
公開日期: | 2008 | 出版社: | John Wiley and Sons Ltd | 卷: | 35 | 期: | 4 | 起(迄)頁: | 1180-1190 | 來源出版物: | Medical Physics | 摘要: | This article aimed to develop a computer-aided diagnosis (CAD) algorithm for differential diagnosis of cirrhotic and noncirrhotic livers, allowing free adjustment of system settings to obtain the best scanned images. A spleen-referenced approached was proposed. 505 pairs of images acquired from 322 subjects using three ultrasound imaging systems were evaluated. Each pair consisted of liver and spleen sonograms of the same subject. Medical doctors were free to adjust the system parameters to attain the best scanned images. Of these 322 subjects, 155 subjects were cirrhotic, and 167 subjects noncirrhotic. Four assessments were carried out to evaluate the effectiveness and robustness of the proposed algorithm on the variations of regions-of-interest, ultrasound imaging systems, and scanned images. Four feature pairs were proposed. A logistic regression function was used as the classifier. All performances were evaluated by the leave-one-out cross-validation method. The proposed algorithm was compared with two previous CAD algorithms and all performance comparisons were based on paired-sample t tests. The mean Az values of the receiver operating characteristic curves and classification accuracies ranged as high as from 0.949 to 0.996 and from 91.58% to 97.30%, respectively, for the four assessments. At the 5% family-wise significance level, the proposed algorithm was shown to be superior to the two previous CAD algorithms and their modified versions in terms of the Az values. ? 2008 American Association of Physicists in Medicine. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-41449093325&doi=10.1118%2f1.2870217&partnerID=40&md5=d73c9c4a2749328e1f026c366e2d550d https://scholars.lib.ntu.edu.tw/handle/123456789/557488 |
ISSN: | 0094-2405 | DOI: | 10.1118/1.2870217 | SDG/關鍵字: | Imaging systems; Logistic regression; Medical imaging; Ultrasonic imaging; Computer Aided Diagnosis(CAD); Leave-one-out cross validations; Liver cirrhosis; Receiver operating characteristic curves; Spleen; Ultrasound imaging; Ultrasound imaging systems; Watershed transform; Computer aided diagnosis; algorithm; article; computer assisted diagnosis; controlled study; differential diagnosis; echography; human; liver cirrhosis; major clinical study; priority journal; spleen |
顯示於: | 醫學系 |
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