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Volumn , Issue , 2012, Pages 434-439

Support vector machine classification using correlation prototypes for bone age assessment

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; NEAREST NEIGHBOR SEARCH; RADIOGRAPHY;

EID: 84884492911     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-28502-8_75     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 3
    • 79955749961 scopus 로고    scopus 로고
    • Bone age assessment by content-based image retrieval and case-based reasoning
    • Fischer B, Welter P, Grouls C, et al. Bone age assessment by content-based image retrieval and case-based reasoning. Proc SPIE. 2011;7963.
    • (2011) Proc SPIE. , pp. 7963
    • Fischer, B.1    Welter, P.2    Grouls, C.3
  • 4
    • 77955514505 scopus 로고    scopus 로고
    • A. MammoSys: A content-based image retrieval system using breast density patterns
    • de Oliveira JEE, Machado A, Chavez G, et al. A. MammoSys: a content-based image retrieval system using breast density patterns. Comput Methods Programs Biomed. 2010;99(3):289-297.
    • (2010) Comput Methods Programs Biomed. , vol.99 , Issue.3 , pp. 289-297
    • De Oliveira, J.E.E.1    Machado, A.2    Chavez, G.3
  • 5
    • 5644301139 scopus 로고    scopus 로고
    • Content-based image retrieval in medical applications
    • Lehmann TM, Gueld MO, Thies C, et al. Content-based image retrieval in medical applications. Methods Inf Med. 2004;43(4):354-61.
    • (2004) Methods Inf Med. , vol.43 , Issue.4 , pp. 354-361
    • Lehmann, T.M.1    Gueld, M.O.2    Thies, C.3
  • 6
    • 62949226978 scopus 로고    scopus 로고
    • Ontology of gaps in content-based image retrieval
    • online-first, DOI 10.1007/s10278-007-9092-x
    • Deserno TM, Antani S, Long R. Ontology of gaps in content-based image retrieval. J Digit Imaging. 2008;online-first, DOI 10.1007/s10278-007-9092-x.
    • (2008) J Digit Imaging.
    • Deserno, T.M.1    Antani, S.2    Long, R.3
  • 7
    • 23844519319 scopus 로고    scopus 로고
    • Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme
    • Deserno TM, Beier D, Thies C, et al. Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme. Proc SPIE. 2005;5747(1):546-555.
    • (2005) Proc SPIE. , vol.5747 , Issue.1 , pp. 546-555
    • Deserno, T.M.1    Beier, D.2    Thies, C.3
  • 8
    • 33745171804 scopus 로고    scopus 로고
    • A classification framework for contentbased extraction of biomedical objects from hierarchically decomposed images
    • Thies C, Schmidt-Borreda M, Seidl T, et al. A classification framework for contentbased extraction of biomedical objects from hierarchically decomposed images. Proc SPIE. 2006;6144:559-568.
    • (2006) Proc SPIE. , vol.6144 , pp. 559-568
    • Thies, C.1    Schmidt-Borreda, M.2    Seidl, T.3
  • 9
    • 43449129760 scopus 로고    scopus 로고
    • Scene analysis with structural prototypes for content-based image retrieval in medicine
    • online first, DOI 10.1117/12.770541
    • Fischer B, Sauren M, Gueld MO, et al. Scene analysis with structural prototypes for content-based image retrieval in medicine. Proc SPIE. 2008;6914; online first, DOI 10.1117/12.770541.
    • (2008) Proc SPIE. , vol.6914
    • Fischer, B.1    Sauren, M.2    Gueld, M.O.3
  • 11
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Hsu CW, Lin CL. A comparison of methods for multi-class support vector machines. IEEE Trans Neural Netw. 2002;13:415-425.
    • (2002) IEEE Trans Neural Netw. , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.