Segmentation, feature extraction, and multiclass brain tumor classification

Journal of Digital Imaging

Volumn 26, Issue 6, 2013, Pages 1141-1150

  Sachdeva, Jainy ^a   Kumar, Vinod ^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

Content based active contour (CBAC); Feature extraction; Multiclass brain tumor classification; Principal component analysis (PCA); Segmented regions of interest (SROIs)

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BRAIN TUMOR CLASSIFICATIONS; CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSTICS; GLIOBLASTOMA MULTIFORME; REDUCTION OF DIMENSIONALITY; SEGMENTED REGIONS OF INTERESTS (SROIS);

BRAIN; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; EXPERIMENTS; FEATURE EXTRACTION; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; TUMORS;

CLASSIFICATION (OF INFORMATION);

ARTICLE; ASTROCYTOMA; BRAIN MAPPING; BRAIN TUMOR; CASE CONTROL STUDY; CLASSIFICATION; COHORT ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; FEMALE; GLIOBLASTOMA; HUMAN; MALE; MEDULLOBLASTOMA; MENINGIOMA; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; REFERENCE VALUE; SENSITIVITY AND SPECIFICITY;

ASTROCYTOMA; BRAIN MAPPING; BRAIN NEOPLASMS; CASE-CONTROL STUDIES; COHORT STUDIES; FEMALE; GLIOBLASTOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MEDULLOBLASTOMA; MENINGIOMA; PRINCIPAL COMPONENT ANALYSIS; REFERENCE VALUES; SENSITIVITY AND SPECIFICITY;

EID: 84888206091     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-013-9600-0     Document Type: Article

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