Statistical modeling of the lung nodules in low dose computed tomography scans of the chest

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 4281-4284

  Farag, Amal ^a   Graham, James ^a   Elshazly, Salwa ^a   Farag, Aly ^a  

^a University of Louisville   (United States)

Author keywords

Data driven; Lung nodule modeling; Procrustes AAM approach; Sensitivity and specificity in CAD systems

Indexed keywords

AUTOMATIC CLASSIFICATION; AUTOMATIC DETECTION; COMPUTED TOMOGRAPHY SCAN; DATA SETS; DATA-DRIVEN; DATA-DRIVEN MODEL; EARLY DIAGNOSIS; HUMAN CHEST; LOW DOSE; LOW-DOSE CT; LUNG NODULE; MODELING APPROACH; PROCRUSTES; SENSITIVITY AND SPECIFICITY; STATISTICAL MODELING;

BIOLOGICAL ORGANS; IMAGE PROCESSING; IMAGING SYSTEMS; STATISTICAL METHODS;

COMPUTERIZED TOMOGRAPHY;

EID: 78651084527     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5651832     Document Type: Conference Paper

References (9)

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