Stability effects of finite difference methods on a mathematical tumor growth model

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 125-132

  Mosayebi, Parisa ^a   Cobzas, Dana ^a   Jagersand, Martin ^a   Murtha, Albert ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPIC DIFFUSION EQUATIONS; BRAIN TUMORS; CHAIN RULES; COMMONLY USED; DIFFUSION EQUATIONS; DIFFUSION WEIGHTED IMAGING; DISCRETIZATION METHOD; DISCRETIZATIONS; FORWARD DIFFERENCE; NUMERICAL ASPECTS; PATIENT DATA; SECOND-ORDER PARABOLIC EQUATIONS; STABILITY CONDITION; STABILITY PROBLEM; THEORY AND PRACTICE; TUMOR GROWTH MODELS;

COMPUTER VISION; DIFFERENTIATION (CALCULUS); DIFFUSION; DISCRETE EVENT SIMULATION; FINITE DIFFERENCE METHOD; HOSPITAL DATA PROCESSING; NUMBER THEORY; NUMERICAL METHODS; PARTIAL DIFFERENTIAL EQUATIONS; STABILITY; TECHNICAL PRESENTATIONS; THREE DIMENSIONAL; TUMORS; VOLUME MEASUREMENT;

COMPUTATIONAL METHODS;

EID: 77956504980     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543136     Document Type: Conference Paper

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