Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography

Artificial Intelligence in Medicine

Volumn 50, Issue 1, 2010, Pages 13-21

  Depeursinge, Adrien ^a   Racoceanu, Daniel ^b   Iavindrasana, Jimison ^a   Cohen, Gilles ^a   Platon, Alexandra ^a   Poletti, Pierre Alexandre ^a   Müller, Henning ^a,c  

^a GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

Author keywords

Computer aided diagnosis; Contextual image analysis; Feature ranking; High resolution computed tomography; Interstitial lung diseases; Lung tissue classification; Multimodal information fusion; Support vector machines; Wavelet based texture analysis

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; D REGION; SUPPORT VECTOR MACHINES; TEXTURES; TISSUE; VECTOR SPACES;

FEATURE RANKING; HIGH-RESOLUTION COMPUTED TOMOGRAPHY; INTERSTITIAL LUNG DISEASE; LUNG TISSUE; MULTIMODAL INFORMATION FUSION; TEXTURE ANALYSIS;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; HIGH RESOLUTION COMPUTER TOMOGRAPHY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTERMETHOD COMPARISON; INTERSTITIAL LUNG DISEASE; LUNG EMPHYSEMA; LUNG FIBROSIS; LUNG NODULE; LUNG PARENCHYMA; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

EID: 77955268957     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2010.04.006     Document Type: Article

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