Level set methods in an EM framework for shape classification and estimation

Lecture Notes in Computer Science

Volumn 3216, Issue PART 1, 2004, Pages 1-9

  Tsai, Andy ^a,b   Wells, William ^a,c   Warfield, Simon K ^a,c   Willsky, Alan ^b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b Department of Electrical Engineering and Computer Science   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; DATABASE SYSTEMS; ESTIMATION; FINITE ELEMENT METHOD; FUNCTIONS; ITERATIVE METHODS; MATHEMATICAL MODELS; MEDICAL APPLICATIONS; NEUROLOGY; SYNTACTICS; VECTORS; MAXIMUM PRINCIPLE; MEDICAL IMAGING; ROTATIONAL FLOW; SET THEORY;

BRAIN MALFORMATION; CEREBELLUM; EXPECTATION-MAXIMIZATION (EM) APPROACH; SHAPE CLASSIFICATION; COMPUTATIONALLY EFFICIENT; EXPECTATION-MAXIMIZATION APPROACHES; ITERATIVE ALGORITHM; LEVEL SET FUNCTIONS; MEASUREMENT MODEL; NOISY MEASUREMENTS; SHAPE DESCRIPTORS;

MAXIMUM PRINCIPLE; NUMERICAL METHODS;

EID: 20344388534     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_1     Document Type: Conference Paper

References (11)

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