A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback

IEEE Transactions on Information Technology in Biomedicine

Volumn 11, Issue 1, 2007, Pages 58-69

  Rahman, Mahmudur ^a   Bhattacharya, Prabir ^b   Desai, Bipin C ^a  

^a Civil and Environmental Engineering   (Canada)

^b University of Concordia   (Canada)

Author keywords

Classification; Clustering; Content based image retrieval (CBIR); Relevance feedback (RF); Statistical similarity matching; Support vector machine (SVM)

Indexed keywords

CONTENT BASED RETRIEVAL; EIGENVALUES AND EIGENFUNCTIONS; FILE ORGANIZATION; IMAGE ANALYSIS; LEARNING SYSTEMS; PATTERN MATCHING; PRINCIPAL COMPONENT ANALYSIS; SEMANTICS;

CATEGORY-SPECIFIC SEARCHING; RELEVANCE FEEDBACK SCHEME; STATISTICAL SIMILARITY MATCHING; SUPPORT VECTOR MACHINE;

MEDICAL IMAGING;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; DATA BASE; DECISION SUPPORT SYSTEM; DIAGNOSTIC IMAGING; HOSPITAL INFORMATION SYSTEM; INFORMATION RETRIEVAL; METHODOLOGY; STATISTICAL ANALYSIS;

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; DATABASE MANAGEMENT SYSTEMS; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSTIC IMAGING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; RADIOLOGY INFORMATION SYSTEMS; USER-COMPUTER INTERFACE;

EID: 33846096724     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2006.884364     Document Type: Article

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