Prior knowledge, random walks and human skeletal muscle segmentation

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

Volumn 7510 LNCS, Issue , 2012, Pages 569-576

  Baudin, P Y ^{a,b,c,d,e,f,g}   Azzabou, N ^e,f,g   Carlier, P G ^e,f,g   Paragios, Nikos ^b,c,d  

^a Saint Denis   (France)

^b Center for Visual Computing   (France)

^c UNIVERSITÉ PARIS EST   (France)

^d INRIA SACLAY   (France)

^e Institute of Myology   (France)

^f DIF   (France)

^g SORBONNE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; LINEAR PROGRAMMING; MEDICAL COMPUTING; MUSCLE; RANDOM PROCESSES;

CLINICAL DATA; GRAPH-BASED; LINEAR OPTIMIZATION; MATHEMATICAL FORMULATION; PRIOR KNOWLEDGE; RANDOM WALK; SKELETAL MUSCLE; STATISTICAL SHAPES;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER PROGRAM; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; REPRODUCIBILITY; SKELETAL MUSCLE; STATISTICAL MODEL; THEORETICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, STATISTICAL; MODELS, THEORETICAL; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; PROBABILITY; REPRODUCIBILITY OF RESULTS; SOFTWARE;

MLCS; MLOWN;

EID: 84872575766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_70     Document Type: Conference Paper

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