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Volumn , Issue , 2012, Pages 1-

Using MapReduce for large-scale medical image analysis

Author keywords

big data; contentbased image retrieval; Hadoop; image analysis; largescale; MapReduce; medical; scalability; support vector machines; texture analysis

Indexed keywords

BIG DATUM; CONTENT BASED IMAGE RETRIEVAL; HADOOP; LARGESCALE; MAP-REDUCE; MEDICAL; TEXTURE ANALYSIS;

EID: 84871980971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HISB.2012.8     Document Type: Conference Paper
Times cited : (33)

References (4)
  • 1
    • 79955022132 scopus 로고    scopus 로고
    • Optimizing analysis, visualization and navigation of large image data sets: One 5000-section CT scan can ruin your whole day
    • May
    • K. P. Andriole, J. M. Wolfe, and R. Khorasani. Optimizing analysis, visualization and navigation of large image data sets: One 5000-section CT scan can ruin your whole day. Radiology, 259(2):346-362, May 2011.
    • (2011) Radiology , vol.259 , Issue.2 , pp. 346-362
    • Andriole, K.P.1    Wolfe, J.M.2    Khorasani, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.