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

Journal of Digital Imaging

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

  Depeursinge, Adrien ^a   Iavindrasana, Jimison ^a   Hidki, Asmâa ^a   Cohen, Gilles ^a   Geissbuhler, Antoine ^a   Platon, Alexandra ^a   Poletti, Pierre Alexandre ^a   Müller, Henning ^a,b  

^a GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^b University of Applied Sciences   (Switzerland)

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;

BIOLOGICAL ORGANS; CLASSIFIERS; COMPUTERIZED TOMOGRAPHY; DECISION TREES; IMAGE ANALYSIS; MULTILAYER NEURAL NETWORKS; PULMONARY DISEASES; STATISTICAL TESTS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; TEXTURES;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DECISION TREE; HUMAN; INTERSTITIAL LUNG DISEASE; METHODOLOGY; RADIOGRAPHY; STATISTICS;

ALGORITHMS; BAYES THEOREM; DECISION TREES; HUMANS; LUNG DISEASES, INTERSTITIAL; NEURAL NETWORKS (COMPUTER); RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

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

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