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Volumn 8674 LNCS, Issue PART 2, 2014, Pages 487-495

Automated medical image modality recognition by fusion of visual and text information

Author keywords

fusion; image classification; image recognition; medical image; modality; text; visual

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUSION REACTIONS; IMAGE RECOGNITION; MEDICAL IMAGING; CHARACTER RECOGNITION; IMAGE FUSION; MEDICAL COMPUTING; PATTERN RECOGNITION; TEXT PROCESSING;

EID: 84906971657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10470-6_61     Document Type: Conference Paper
Times cited : (10)

References (16)
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    • ImageCLEF 2013: The Vision, the Data and the Open Challenges
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    • Caputo, B., et al.: ImageCLEF 2013: The Vision, the Data and the Open Challenges. In: Forner, P., Müller, H., Paredes, R., Rosso, P., Stein, B. (eds.) CLEF 2013. LNCS, vol. 8138, pp. 250-268. Springer, Heidelberg (2013)
    • (2013) LNCS , vol.8138 , pp. 250-268
    • Caputo, B.1
  • 10
    • 35048880921 scopus 로고    scopus 로고
    • Face Recognition with Local Binary Patterns
    • Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. Springer, Heidelberg
    • Ahonen, T., Hadid, A., Pietikäinen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469-481. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.3021 , pp. 469-481
    • Ahonen, T.1    Hadid, A.2    Pietikäinen, M.3
  • 11
    • 78149477809 scopus 로고    scopus 로고
    • Multi-scale Color Local Binary Patterns for Visual Object Classes Recognition
    • IEEE Press, New York
    • Zhu, C., Bichot, C., Chen, L.: Multi-scale Color Local Binary Patterns for Visual Object Classes Recognition. In: 20th IAPR International Conference on Pattern Recognition (ICPR), pp. 3065-3068. IEEE Press, New York (2010)
    • (2010) 20th IAPR International Conference on Pattern Recognition (ICPR) , pp. 3065-3068
    • Zhu, C.1    Bichot, C.2    Chen, L.3
  • 14
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    • The Cancer Imaging Archive (TCIA), http://cancerimagingarchive.net/
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    • Japanese Society of Radiological Technology, http://www.jsrt.or.jp/jsrt- db/eng.php


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.