메뉴 건너뛰기




Volumn 29, Issue 3, 2005, Pages 179-184

Support vector machines in sonography: Application to decision making in the diagnosis of breast cancer

Author keywords

Breast cancer; Computer diagnosis; Support vector machines; Textural analysis; Ultrasonography

Indexed keywords

DECISION MAKING; DIAGNOSIS; DISEASES; IMAGE ANALYSIS; IMAGE QUALITY; MULTILAYER NEURAL NETWORKS; ONCOLOGY; PATHOLOGY; TUMORS; ULTRASONICS;

EID: 18044391075     PISSN: 08997071     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinimag.2004.08.002     Document Type: Article
Times cited : (61)

References (18)
  • 2
    • 0029043295 scopus 로고
    • Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions
    • AT Stavros, D Thickman, CL Rapp, MA Dennis, SH Parker, and GA Sisney Solid breast nodules: use of sonography to distinguish between benign and malignant lesions Radiology 196 1 1995 123 134
    • (1995) Radiology , vol.196 , Issue.1 , pp. 123-134
    • Stavros, A.T.1    Thickman, D.2    Rapp, C.L.3    Dennis, M.A.4    Parker, S.H.5    Sisney, G.A.6
  • 3
    • 0025900469 scopus 로고
    • The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions
    • LW Bassett, TH Liu, AE Giuliano, and RH Gold The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions AJR Am J Roentgenol 157 1 1991 21 24
    • (1991) AJR Am J Roentgenol , vol.157 , Issue.1 , pp. 21-24
    • Bassett, L.W.1    Liu, T.H.2    Giuliano, A.E.3    Gold, R.H.4
  • 4
    • 0023122390 scopus 로고
    • Clinically occult breast lesions: Localization and significance
    • AL Rosenberg, GF Schwartz, SA Feig, and AS Patchefsky Clinically occult breast lesions: localization and significance Radiology 162 1 Pt 1 1987 167 170
    • (1987) Radiology , vol.162 , Issue.1 PART 1 , pp. 167-170
    • Rosenberg, A.L.1    Schwartz, G.F.2    Feig, S.A.3    Patchefsky, A.S.4
  • 5
    • 0021238129 scopus 로고
    • Prebiopsy localization of nonpalpable breast lesions
    • JJ Gisvold, and JK Martin Prebiopsy localization of nonpalpable breast lesions AJR Am J Roentgenol 143 3 1984 477 481
    • (1984) AJR Am J Roentgenol , vol.143 , Issue.3 , pp. 477-481
    • Gisvold, J.J.1    Martin, J.K.2
  • 6
    • 0034074630 scopus 로고    scopus 로고
    • Breast cancer diagnosis using self-organizing map for sonography
    • D Chen, RF Chang, and YL Huang Breast cancer diagnosis using self-organizing map for sonography Ultrasound Med Biol 26 3 2000 405 411
    • (2000) Ultrasound Med Biol , vol.26 , Issue.3 , pp. 405-411
    • Chen, D.1    Chang, R.F.2    Huang, Y.L.3
  • 8
    • 0036814403 scopus 로고    scopus 로고
    • Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks
    • DR Chen, RF Chang, WJ Kuo, MC Chen, and YL Huang Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks Ultrasound Med Biol 28 10 2002 1301 1310
    • (2002) Ultrasound Med Biol , vol.28 , Issue.10 , pp. 1301-1310
    • Chen, D.R.1    Chang, R.F.2    Kuo, W.J.3    Chen, M.C.4    Huang, Y.L.5
  • 9
    • 0032737421 scopus 로고    scopus 로고
    • Computer-aided diagnosis applied to US of solid breast nodules by using neural networks
    • DR Chen, RF Chang, and YL Huang Computer-aided diagnosis applied to US of solid breast nodules by using neural networks Radiology 213 2 1999 407 412
    • (1999) Radiology , vol.213 , Issue.2 , pp. 407-412
    • Chen, D.R.1    Chang, R.F.2    Huang, Y.L.3
  • 10
    • 0035041653 scopus 로고    scopus 로고
    • Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images
    • WJ Kuo, RF Chang, DR Chen, and CC Lee Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images Breast Cancer Res Treat 66 1 2001 51 57
    • (2001) Breast Cancer Res Treat , vol.66 , Issue.1 , pp. 51-57
    • Kuo, W.J.1    Chang, R.F.2    Chen, D.R.3    Lee, C.C.4
  • 14
    • 84937539670 scopus 로고    scopus 로고
    • A tale of two classifiers: SNoW vs. SVM in visual recognition
    • Yang MH, Roth D, Ahuja N. A tale of two classifiers: SNoW vs. SVM in visual recognition. Comput Vis-Eccv 2002 Pt Iv 2002;2353:685-699.
    • (2002) Vis-Eccv 2002 Pt Iv , vol.2353 , pp. 685-699
    • Yang, M.H.1    Roth, D.2    Ahuja, N.3
  • 16
    • 0037212915 scopus 로고    scopus 로고
    • Identifying splicing sites in eukaryotic RNA: Support vector machine approach
    • YF Sun, XD Fan, and YD Li Identifying splicing sites in eukaryotic RNA: support vector machine approach Comput Biol Med 33 1 2003 17 29
    • (2003) Comput Biol Med , vol.33 , Issue.1 , pp. 17-29
    • Sun, Y.F.1    Fan, X.D.2    Li, Y.D.3
  • 17
    • 0036827078 scopus 로고    scopus 로고
    • Prediction of protein retention times in anion-exchange chromatography systems using support vector regression
    • MH Song, CM Breneman, JB Bi, N Sukumar, KP Bennett, S Cramer, and N Tugcu Prediction of protein retention times in anion-exchange chromatography systems using support vector regression J Chem Inf Comput Sci 42 6 2002 1347 1357
    • (2002) J Chem Inf Comput Sci , vol.42 , Issue.6 , pp. 1347-1357
    • Song, M.H.1    Breneman, C.M.2    Bi, J.B.3    Sukumar, N.4    Bennett, K.P.5    Cramer, S.6    Tugcu, N.7
  • 18
    • 0036881508 scopus 로고    scopus 로고
    • Robust support vector machine with bullet hole image classification
    • Q Song, WJ Hu, and WF Xie Robust support vector machine with bullet hole image classification IEEE Trans Syst Man Cybern, Part C Appl Rev 32 4 2002 440 448
    • (2002) IEEE Trans Syst Man Cybern, Part C Appl Rev , vol.32 , Issue.4 , pp. 440-448
    • Song, Q.1    Hu, W.J.2    Xie, W.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.