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Volumn 23, Issue 1, 2010, Pages 18-30

Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization

Author keywords

Chest high resolution CT; Feature extraction; Quantitative image analysis; Supervised learning; Support vector machines; Texture analysis

Indexed keywords

BEST VALUE; CHEST HIGH-RESOLUTION CT; CLASSIFICATION ALGORITHM; COMPARATIVE PERFORMANCE ANALYSIS; DATA SETS; FEATURE SPACE; GRID SEARCH; HEALTHY TISSUES; HIGH CLASS; HIGH RESOLUTION CT; HIGH-RESOLUTION COMPUTED TOMOGRAPHY; INTERSTITIAL LUNG DISEASE; LUNG TISSUE; MCNEMAR; MULTI LAYER PERCEPTRON; NAIVE BAYES; NEAREST NEIGHBORS; OPTIMAL PARAMETER; PREDICTION RATE; QUANTITATIVE IMAGE ANALYSIS; REGIONS OF INTEREST; TESTING SETS; TEXTURE ANALYSIS;

EID: 75749087287     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-008-9158-4     Document Type: Article
Times cited : (39)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.