Ultrasound Breast Tumor Image Computer-Aided Diagnosis With Texture and Morphological Features

Academic Radiology

Volumn 15, Issue 7, 2008, Pages 873-880

  Wu, Wen Jie ^a   Moon, Woo Kyung ^b  

^a CHANG GUNG UNIVERSITY   (Taiwan)

^b Seoul National University Hospital   (South Korea)

Author keywords

breast tumors; morphologic analysis; SVM; texture analysis; Ultrasound

Indexed keywords

ANISOTROPY; ARTICLE; BENIGN TUMOR; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; HUMAN; KERNEL METHOD; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ULTRASOUND;

ADOLESCENT; ADULT; ANISOTROPY; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, MAMMARY;

EID: 47749088610     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2008.01.010     Document Type: Article

References (22)

1. Jemal A., Murray T., Samuels A., et al. Cancer statistics. CA Cancer J Clin 53 (2003) 5-26
2. Esserman L.J. New approaches to the imaging, diagnosis, and biopsy of breast lesions. Cancer J 8 (2002) S1-S14
3. Bassett L.W., Liu T.H., Giuliano A.E., et al. The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions. AJR Am J Roentgenol 157 (1991) 21-24
4. Rubin M., Horiuchi K., Joy N., et al. Use of fine needle aspiration for solid breast lesions is accurate and cost-effective. Am J Surg 174 (1997) 694-696
5. Gisvold J.J., and Martin Jr. J.K. Prebiopsy localization of nonpalpable breast lesions. AJR Am J Roentgenol 143 (1984) 477-481
6. Palmedo H., Grunwald F., Bender H., et al. Scintimammography with technetium-99m methoxyisobutylisonitrile: Comparison with mammography and magnetic resonance imaging. Eur J Nucl Med 23 (1996) 940-946
7. Chang R.F., Wu W.J., Moon W.K., et al. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Res Treat 89 (2005) 179-185
8. Chen D.R., Chang R.F., and Huang Y.L. Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Radiology 213 (1999) 407-412
9. Stavros A.T., Thickman D., Rapp C.L., et al. Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions. Radiology 196 (1995) 123-134
10. Chang R.F., Wu W.J., Moon W.K., et al. Support vector machines for diagnosis of breast tumors on US images. Acad Radiol 10 (2003) 189-197
11. Chang R.F., Wu W.J., Moon W.K., et al. Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis. Ultrasound Med Biol 29 (2003) 679-686
12. Burges J.C. A tutorial on support vector machines for pattern recognition. Data Mining Knowledge Discov 2 (1998) 121-167
13. Pontil M., and Verri A. Support vector machines for 3D object recognition. IEEE Trans Pattern Analy Machine Intell 20 (1998) 637-646
14. Vapnik V.N. The Nature of Statistical Learning Theory (1995), Springer-Verlag, New York
15. Chapelle O., Haffner P., and Vapnik V.N. Support vector machines for histogram-based image classification. IEEE Trans Neural Networks 10 (1999) 1055-1064
16. Heiden V.D., Duin R.P.W., de Ridder D., et al. Classification, parameter estimation and state estimation: An engineering approach using MATLAB (2004), Wiley, Oxford
17. Gerig G., Kubler O., Kikinis R., and Jolesz F.A. Nonlinear anisotropic filtering of MRI data. IEEE Trans Med Imaging 11 (1992) 221-232
18. Perona J., and Malik J. Scale-scape and edge-detection using anisotropic diffusion. IEEE Trans Pattern Analy Machine Intell 12 (1990) 629-639
19. Czerwinski R.N., Jones D.L., and O'Brien W.D. Edge detection in ultrasound speckle noise. IEEE Int Conf Image Processing 3 (1994) 304-308
20. Otsu N. A threshold selection method form gray-level histograms. IEEE Trans Systems Man Cyber 9 (1979) 62-66
21. Sethian J.A. Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision, and Materials Science (1996), Cambridge University Press, Cambridge
22. Osher S., and Sethian J. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi equations. J Comput Phys 79 (1988) 12-49