Brain MR image segmentation using local and global intensity fitting active contours/surfaces

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 384-392

  Wang, Li ^a   Li, Chunming ^b   Sun, Quansen ^a   Xia, Deshen ^a   Kao, Chiu Yen ^c  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b VANDERBILT UNIVERSITY   (United States)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MR IMAGE SEGMENTATION; CURVE EVOLUTION; ENERGY FUNCTIONALS; GLOBAL IMAGE INFORMATION; INTENSITY INFORMATION; INTENSITY INHOMOGENEITY; OBJECT BOUNDARIES; REGION-BASED;

COMPUTER SCIENCE; CURVE FITTING; DIGITAL IMAGE STORAGE; MEDICAL COMPUTING; OPTIMIZATION; THREE DIMENSIONAL;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 58849138049     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_46     Document Type: Conference Paper

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