Classification of brain tumors using PCA-ANN

Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011

Volumn , Issue , 2011, Pages 1079-1083

  Kumar, Vinod ^a   Sachdeva, Jainy ^a   Gupta, Indra ^a   Khandelwal, Niranjan ^b   Ahuja, Chirag Kamal ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b POSTGRADUATE INSTITUTE OF MEDICAL EDUCATION AND RESEARCH   (India)

Author keywords

brain tumor classification; feature extraction; Gradient Vector Flow (GVF); Principal component analysis (PCA); regions of interest (ROIs)

Indexed keywords

ASTROCYTOMA; BRAIN TUMORS; DATA SETS; DECISION MAKING PROCESS; FEATURE SPACE; GLIOBLASTOMA MULTIFORME; GRADIENT VECTOR FLOW; INTERACTIVE MODELS; MENINGIOMAS; MR IMAGES; MULTI-CLASS CLASSIFICATION; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENTS; REDUCTION OF DIMENSIONALITY; REGIONS OF INTEREST; SEGMENTED REGIONS; TUMOR BOUNDARY;

BRAIN; FEATURE EXTRACTION; INFORMATION TECHNOLOGY; NEURAL NETWORKS; TEACHING;

TUMORS;

EID: 84857162321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WICT.2011.6141398     Document Type: Conference Paper

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