Performance of topological texture features to classify fibrotic interstitial lung disease patterns

Medical Physics

Volumn 38, Issue 4, 2011, Pages 2035-2044

  Huber, Markus B ^a   Nagarajan, Mahesh B ^a   Leinsinger, Gerda ^b   Eibel, Roger ^c   Ray, Lawrence A ^d   Wismüller, Axel ^a,b  

^a University of Rochester   (United States)

^b UNIVERSITY OF MUNICH   (Germany)

^c HELIOS KLINIKEN SCHWERIN   (Germany)

^d CARESTREAM HEALTH INC   (United States)

Author keywords

lung high resolution CT; quantitative image analysis; supervised learning; texture analysis

Indexed keywords

BARIUM COMPOUNDS; BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; FUNCTIONS; HEAT CONDUCTION; IMAGE SEGMENTATION; NEAREST NEIGHBOR SEARCH; RADIAL BASIS FUNCTION NETWORKS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; TEXTURES; TISSUE; TOPOLOGY;

CLASSIFICATION PERFORMANCE; COMPUTER ASSISTED DIAGNOSIS; GRAY-LEVEL CO-OCCURRENCE MATRIX; HIGH RESOLUTION CT; HIGH-RESOLUTION COMPUTED TOMOGRAPHY; INTERSTITIAL LUNG DISEASE; QUANTITATIVE IMAGE ANALYSIS; TEXTURE ANALYSIS;

IMAGE TEXTURE;

EID: 79953666881     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3566070     Document Type: Article

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