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Volumn 5, Issue 25, 2004, Pages 230-238

A continuous and probabilistic framework for medical image representation and categorization

Author keywords

Content Based Image Retrieval (CBIR); Image distance; Medical image categorization; PACS; Segmentation and grouping; Statistical medical image modeling

Indexed keywords

DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE RETRIEVAL; PROBABILITY; RADIOLOGY; STATISTICAL METHODS; TEXTURES; X RAYS;

EID: 12144262391     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.536872     Document Type: Conference Paper
Times cited : (18)

References (11)
  • 4
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • J. Rissanen, Modeling by shortest data description, Automatica 14, 465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 7
    • 0037649192 scopus 로고    scopus 로고
    • Computer vision techniques for content-based image retrieval from large medical databases
    • IAPR, Tokyo, Japan
    • A.C. Kak, C. Pavlopoulou, Computer Vision Techniques for Content-Based Image Retrieval from Large Medical Databases, 7th Workshop on Machine Vision Applications, IAPR, Tokyo, Japan, 2000.
    • (2000) 7th Workshop on Machine Vision Applications
    • Kak, A.C.1    Pavlopoulou, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.