Modified micro structure descriptors and hybrid-RBF kernel SVM based diagnosis of brain tumor in MRI images

Journal of Medical Imaging and Health Informatics

Volumn 5, Issue 6, 2015, Pages 1194-1200

  Prabin, A ^a   Veerappan, J ^b  

^a Universal College of Engineering and Technology   (India)

^b SETHU INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Classification; Feature extraction; Kernel; Micro structure descriptor (MTSD); MRI; Segmentation; Tumor

Indexed keywords

GADOLINIUM;

ARTICLE; BRAIN TUMOR; CONTRAST ENHANCEMENT; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DIGITAL IMAGING AND COMMUNICATIONS IN MEDICINE; ELECTRON SPIN RESONANCE; HISTOGRAM; HYBRID RADIAL BASIS FUNCTION KERNEL; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; KERNEL METHOD; MEDICAL SCHOOL; MICRO STRUCTURE DESCRIPTOR; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TUMOR CLASSIFICATION; TUMOR DIAGNOSIS;

EID: 85000349728     PISSN: 21567018     EISSN: 21567026     Source Type: Journal    
DOI: 10.1166/jmihi.2015.1515     Document Type: Article

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