Lung cancer classification using neural networks for CT images

Computer Methods and Programs in Biomedicine

Volumn 113, Issue 1, 2014, Pages 202-209

  Kuruvilla, Jinsa ^a   Gunavathi, K ^a  

^a PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Computed tomography; Kurtosis; Neural network; Skewness

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CLASSIFICATION ACCURACY; COMPUTER AIDED CLASSIFICATION; FEED-FORWARD BACK PROPAGATION NETWORKS; FEED-FORWARD BACK-PROPAGATION NEURAL NETWORKS; KURTOSIS; MINIMUM MEAN SQUARE ERRORS; SKEWNESS;

BIOLOGICAL ORGANS; DISEASES; HIGHER ORDER STATISTICS; NEURAL NETWORKS;

COMPUTERIZED TOMOGRAPHY;

ACCURACY; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CANCER CLASSIFICATION; CLASSIFICATION ALGORITHM; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; HUMAN; LUNG CANCER; MALE; NETWORK LEARNING; PERFORMANCE; SENSITIVITY AND SPECIFICITY;

COMPUTED TOMOGRAPHY; KURTOSIS; NEURAL NETWORK; SKEWNESS;

HUMANS; LUNG NEOPLASMS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); TOMOGRAPHY, X-RAY COMPUTED;

EID: 84887825143     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.10.011     Document Type: Article

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