Tissue classification in magnetic resonance images through the hybrid approach of Michigan and Pittsburg genetic algorithm

Applied Soft Computing Journal

Volumn 11, Issue 4, 2011, Pages 3476-3484

  Mehta, Shashi Bhushan ^a,b,e   Chaudhury, Santanu ^c   Bhattacharyya, Asok ^a   Jena, Amarnath ^d  

^a DELHI TECHNOLOGICAL UNIVERSITY   (India)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

^c INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^d RAJIV GANDHI CANCER INSTITUTE AND RESEARCH CENTRE   (India)

^e D 102 Century Park Apartments ^*  (India)

Author keywords

FRBS; Fuzzy rules; Genetic algorithm; Learning algorithm; Magnetic resonance imaging; Michigan; Pattern analysis; Pittsburg; Segmentation

Indexed keywords

FRBS; MICHIGAN; PATTERN ANALYSIS; PITTSBURG; SEGMENTATION;

FUZZY RULES; GENETIC ALGORITHMS; IMAGE SEGMENTATION; LEARNING ALGORITHMS; MAGNETISM; PATIENT REHABILITATION; RADIOLOGY; RELAXATION PROCESSES; RESONANCE; SPIN POLARIZATION; TISSUE;

MAGNETIC RESONANCE IMAGING;

EID: 79954611132     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.01.021     Document Type: Article

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