Joint tumor segmentation and dense deformable registration of brain MR images

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

Volumn 7511 LNCS, Issue , 2012, Pages 651-658

  Parisot, Sarah ^a,b,c   Duffau, Hugues ^d   Chemouny, Stéphane ^c   Paragios, Nikos ^a,b  

^a Center for Visual Computing   (France)

^b INRIA SACLAY   (France)

^c Intrasense SAS   (France)

^d GUI DE CHAULIAC HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; LINEAR PROGRAMMING; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; TUMORS;

DEFORMABLE REGISTRATION; DISEASED TISSUES; IMAGE-BASED CLASSIFICATION; LOW-GRADE GLIOMAS; REGULARIZATION TERMS; SMOOTH SOLUTIONS; STATE OF THE ART; TUMOR SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN; BRAIN NEOPLASMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84988909615     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33418-4_80     Document Type: Conference Paper

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