Intensity inhomogeneity correction and segmentation of magnetic resonance images using a multi-stage fuzzy clustering approach

Neural Network World

Volumn 19, Issue 5, 2009, Pages 513-528

  Szilágyi, Sándor M ^a   Szilágyi, László ^a   Iclǎnzan, David ^b   Ddvid, László ^a   Frigy, Attila ^c   Benyó, Zoltán ^d  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^b BABE BOLYAI UNIVERSITY   (Romania)

^c Medical Clinic No 4   (Romania)

^d BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

3D REGISTRATION; CONTEXT DEPENDENT; ESTIMATION AND COMPENSATION; FUZZY C MEANS CLUSTERING; FUZZY MEMBERSHIP VALUES; GAUSSIAN AND IMPULSE NOISE; HIGH AMPLITUDES; INTENSITY INHOMOGENEITY; INTENSITY INHOMOGENEITY CORRECTION; MAGNETIC RESONANCE IMAGES; MR IMAGES; MULTI-STAGE; MULTIPLICATIVE NOISE; NONUNIFORMITY; PRE-FILTERING; REGISTRATION METHODS; SMOOTHING FILTERS;

CLUSTERING ALGORITHMS; COMPUTERIZED TOMOGRAPHY; FUZZY SYSTEMS; IMPULSE NOISE; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; THREE DIMENSIONAL; TWO DIMENSIONAL;

FUZZY CLUSTERING;

EID: 71949112751     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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