Unsupervised and adaptive segmentation of multispectral 3d magnetic resonance images of human brain: A generic approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2208, Issue , 2001, Pages 1067-1074

  Pachai, Chahin ^a,c   Zhu, Yue Min ^a   Guttmann, Charles R G ^c   Kikinis, Ron ^c   Jolesz, Ferenc A ^c   Gimenez, Gerard ^a   Froment, Jean Claude ^b   Confavreux, Christian ^b   Warfield, Simon K ^c  

^a UNIVERSITÉ DE LYON   (France)

^b HÔPITAL NEUROLOGIQUE   (France)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; COMPUTER PROGRAMMING; DATA HANDLING; HISTOLOGY; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; TISSUE;

ADAPTIVE SEGMENTATION; DATA PROCESSING PIPELINES; GENERIC ALGORITHM; GIBBS RANDOM FIELD; INTENSITY NONUNIFORMITY; SEGMENTATION RESULTS; SIGNAL INTENSITIES; STATISTICAL MODELING;

IMAGE SEGMENTATION;

EID: 84870895921     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45468-3_127     Document Type: Conference Paper

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