- Comparative Analysis of Logistic Regression, Support Vector Machine and Artificial Neural Network for the Differential Diagnosis of Benign and Malignant Solid Breast Tumors by the Use of Three-Dimensional Power Doppler Imaging
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Chen ST, Hsiao YH, Huang YL, Kuo SJ, Tseng HS, Wu HK, Chen DR
- KMID: 1093961
- Korean J Radiol.
- 2009 Oct;10(5):464-471.
- doi: 10.3348/kjr.2009.10.5.464
OBJECTIVE: Logistic regression analysis (LRA), Support Vector Machine (SVM) and a neural network (NN) are commonly used statistical models in computer-aided diagnostic (CAD) systems for breast ultrasonography (US). The aim... -
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- Observer Agreement Using the ACR Breast Imaging Reporting and Data System (BI-RADS)-Ultrasound, First Edition (2003)
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Park CS, Lee JH, Yim HW, Kang BJ, Kim HS, Jung JI, Jung NY, Kim SH
- KMID: 1734288
- Korean J Radiol.
- 2007 Oct;8(5):397-402.
- doi: 10.3348/kjr.2007.8.5.397
OBJECTIVE: This study aims to evaluate the degree of inter- and intraobserver agreement when characterizing breast abnormalities using the Breast Imaging Reporting and Data System (BI-RADS)-ultrasound (US) lexicon, as defined... -
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