Quantification and segmentation of brain tissues from MR images: A probabilistic neural network approach

IEEE Transactions on Image Processing

Volumn 7, Issue 8, 1998, Pages 1165-1181

  Wang, Yue ^a,b,c   Adali, Tülay ^a,d   Kung, Sun Yuan ^a,e   Szabo, Zsolt ^f  

^a IEEE   (United States)

^b Catholic University of America ^*  (United States)

^c GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d University of Marylandw Baltimore County   (United States)

^e Princeton University   (United States)

^f DEPARTMENT OF PATHOLOGY   (United States)

Author keywords

Finite mixture models; Image segmentation; Information theoretic criteria; Model estimation; Probabilistic neural networks; Relaxation algorithm

Indexed keywords

ALGORITHMS; BRAIN; CONSTRAINT THEORY; GRAPH THEORY; IMAGE SEGMENTATION; MATHEMATICAL MODELS; MEDICAL IMAGING; NEURAL NETWORKS; TISSUE;

FINITE FIXTURE MODEL; GLOBAL CONSISTENCY LABELING; INFORMATION THEORETIC CRITERIA; MODEL HISTOGRAM FITTING; PIXELS; PROBABILISTIC NEURAL NETWORKS; RELAXATION ALGORITHM;

MAGNETIC RESONANCE IMAGING;

EID: 0032138057     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.704309     Document Type: Article

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