[2] [2] STAVROS A T,THICKMAN D,RAPP C L,et al.Solid breast nodules:Use of sonography to distinguish between benign and malignant lesions[J].Radiology,1995,196:123-134.

[3] [3] HUBER S,DANES J,ZUNA I,et al.Relevance of sonographic B-mode criteria and computer-aided ultrasonic tissue characterization in differential/diagnosis of solid breast masses[J].Ultrasound in Med.&Biol,2000,26 (8):1243-1252.

[4] [4] CHOU Y H,TIU C M,HUNG G S,et al.Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis[J].Ultrasound in Med.&Biol,2001,27(11):1493-1498.

[5] [5] CHEN D R,CHANG R F,KUO W J,et al.Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks[J].Ultrasound in Med.&Biol,2002,28(10):1301-1310.

[6] [6] JOO S,YANG Y S,MOON W K,et al.Computer-aided diagnosis of solid breast nodules:use of an artificial neural network based on multiple sonographic features[J].Medical Imaging,2004,23(10):1292-1300.

[7] [7] BOUKERROUI D,BASSET O,GUERIN N,etal.Multiresolution texture based adaptive clustering algorithm for breast lesion segmentation[J].European Journal of Ultrasound,1998,8(2):135-144.

[8] [8] MADABHUSHI A,METAXAS D N.Combining low-,high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions[J].Medical Imaging,2003,22(2):155-169.

[9] [9] HUANG Y L,CHEN D R.Watershed segmentation for breast tumor in 2-D sonography[J].Ultrasound in Med.& Biol,2004,30(5):625-632.

[10] [10] AMINI A A,WEYMOUTH T E,JAIN R C.Using dynamic programming for solving variational problems in version[J].Pattern Analysis and Machine Intelligence,1990,12(9):855-867.