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請使用永久網址來引用或連結此文件:
http://ir.cmu.edu.tw/ir/handle/310903500/28652
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| 題名: | Modifier effects on supercritical CO2 extraction efficiency of cephalotaxine from Cephalotaxus wilsoniana leaves |
| 作者: | Choi, YH;Kim, J;Kim, JY;Joung, SN;Yoo, KP;Chang, YS |
| 貢獻者: | 中國醫藥大學;Seoul Natl Univ, Coll Pharm, Kwanak Gu, Seoul 151742, South Korea;Sogang Univ, Dept Chem Engn, Seoul 121742, South Korea;China Med Coll, Taichung, Taiwan |
| 日期: | 2000 |
| 上傳時間: | 2010-09-24 13:39:15 (UTC+8) |
| 出版者: | PHARMACEUTICAL SOCIETY KOREA |
| 摘要: | The purpose of this study was to evaluate the performance of neural network model self-organizing maps (SOM) in the classification of benign and malignant sonographic breast lesions. A total of 243 breast tumors (82 malignant and 161 benign) were retrospectively evaluated. When a sonogram was performed, the analog video signal was captured to obtain a digitized sonographic image. The physician selected the region of interest in the sonography, An SOM model using 24 autocorrelation texture features classified the tumor as benign or malignant. In the experiment, cases were sampled with k-fold cross-validation (k = 10) to evaluate the performance using receiver operating characteristic (ROC) curves,The ROC area index for the proposed SOM system is 0.9357 +/- 0.0152, the accuracy is 85.6%, the sensitivity is 97.6%, the specificity is 79.5%, the positive predictive value is 70.8%, and the negative predictive value is 98.5%. This computer-aided diagnosis system can provide a useful tool and its high negative predictive value could potentially help avert benign biopsies. (C) 2000 World Federation for Ultrasound in Medicine & Biology. |
| 關聯: | ARCHIVES OF PHARMACAL RESEARCH 23(2):163-166 |
| 顯示於類別: | [中國醫藥大學] 期刊論文
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