Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-005-0019-5.pdf
Reference19 articles.
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3. Bassett LW, Liu TH, Giuliano AE, Gold RH (1991) The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions. AJR Am J Roentgenol 157(1):21–24
4. Chen D, Chang RF, Huang YL (2000) Breast cancer diagnosis using self-organizing map for sonography. Ultrasound Med Biol 26(3):405–411
5. Chen DR, Chang RF, Huang YL, Chou YH, Tiu CM, Tsai PP (2000) Texture analysis of breast tumors on sonograms. Semin Ultrasound CT MR 21(4):308–316
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