Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound

Computerized Medical Imaging and Graphics

Volumn 28, Issue 5, 2004, Pages 247-255

  Piliouras, N ^a   Kalatzis, I ^a   Dimitropoulos, N ^b   Cavouras, D ^a  

^a UNIVERSITY OF WEST ATTICA   (Greece)

^b Euromedica Medical Center   (Greece)

Author keywords

Breast lesion discrimination; Breast ultrasound; Classification; Support vector machine

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; VECTORS;

LEAST SQUARE MAPPING; SUPPORT VECTOR MACHINES;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BREAST CANCER; BREAST CARCINOMA; BREAST FIBROADENOMA; BREAST LESION; BREAST PAPILLOMA; BREAST TUMOR; COMPUTER PROGRAM; CYSTOSARCOMA PHYLLOIDES; DISEASE CLASSIFICATION; ECHOMAMMOGRAPHY; HEMANGIOMA; HEMATOMA; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; LIPOMA; LIPOMATOSIS; LYMPHOCELE; MACHINE; MATHEMATICAL MODEL; PRIORITY JOURNAL; RADIOLOGIST; REGRESSION ANALYSIS; SEBACEOUS CYST; SUPPORT VECTOR MACHINE;

BREAST DISEASES; DIAGNOSIS, DIFFERENTIAL; DIAGNOSTIC ERRORS; FEMALE; GREECE; HUMANS; LEAST-SQUARES ANALYSIS;

EID: 3042798451     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2004.04.003     Document Type: Article

References (19)

1. Dennis M.A., Parker S.H., Klaus A.J., Stavros A.T., Kaske T.I., Clark S.B. Breast biopsy avoidance: the value of normal mammograms and normal sonograms in the setting of a palpable lump. Radiology. 219:2001;186-191
2. Baker J.A., Soo M.S., Rosen E.L. Artifacts and pitfalls in sonographic imaging of the breast. AJR. 176:2001;1261-1266
3. Zonderland H.M., Coerkamp E.G., Hermans J., van de Vijver M.J., van Voorthuisen A.E. Diagnosis of breast cancer: contribution of US as an adjunct to mammography. Radiology. 213:1999;413-422
4. Rahbar G., Sie A.C., Hansen G.C., Prince J.S., Melany M.L., Reynolds H.E., Jackson V.P., Sayre J.W., Basset L.W. Benign versus malignant solid breast masses: US differentiation. Radiology. 213:1999;889-894
5. Chen D.R., Chang R.F., Huang Y.L. Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Radiology. 213:1999;407-412
6. Sivaramakrishna R., Powell K.A., Lieber M.L., Chilcote W.A., Shekhar R. Texture analysis of lesions in breast ultrasound images. Comp Med Im Graph. 26:2002;303-307
7. Shankar P.M., Reid J.M., Ortega H., Piccoli C.W., Goldberg B.B. Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breast. IEEE Trans Med Imaging. 12:(4):1993;687-692
8. Gara B.S., Krasner B.H., Horii S.C., Ascher S., Mun S.K., Zeman R.K. Improving the distinction between benign and malignant breast lesions: the value of sonographic texture analysis. Ultrason Imaging. 15:1993;267-285
9. Stavros A.T., Thickman D., Rapp C.L., Dennis M.A., Parker S.H., Sisney G.A. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 1996:1995;123-134
10. Chen D.R., Chang R.F., Huang Y.L. Breast cancer diagnosis using self-organizing map for sonography. Ultrasound Med Biol. 26:(3):2000;405-411
11. Giger M.L., Al-Hallaq H., Huo Z., Moran C., Wolverton D.E., Chan C.W., Zhong W. Computerized analysis of lesions in US images of the breast. Acad Radiol. 6:1999;665-674
12. Jackson V.P. The role of US in breast imaging. Radiology. 177:1990;305-311
13. Kecman V. Learning and soft computing, support vector machines, neural networks, and fuzzy logic models. 2001;MIT Press, Cambridge, MA. p.121-91
14. Haralick R.M., Shanmugam K., Dinstein I. Textural features for image analysis. IEEE Trans Syst Man Cybern. SMC-3:1973;610-621
15. Galloway M.M. Texture analysis using gray level run lengths. Comput Graphics Image Process. 4:1975;172-179
16. Bruce R., Adhami R.R. Classifying mammographic mass shapes using the wavelet transform modulus-maxima method. IEEE Trans Med Imaging. 18:1999;1170-1177
17. Theodoridis S., Koutroumbas K. Pattern recognition. 1998;Academic Press, San Diego
18. Ahmed N., Rao K.R. Orthogonal transforms for digital signal processing. 1975;Springer, Berlin. p. 225-58
19. Chang R.F., Kuo W.J., Chen D.R., Huang Y.L., Lee J.H., Chou Y.H. Computer-aided diagnosis for surgical office-based breast ultrasound. Arch Surg. 135:2000;696-699