A variational level set approach to segmentation and bias correction of images with intensity inhomogeneity

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 1083-1091

  Li, Chunming ^a   Huang, Rui ^b   Ding, Zhaohua ^a   Gatenby, Chris ^a   Metaxas, Dimitris ^b   Gore, John ^a  

^a VANDERBILT UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

K-MEANS CLUSTERING; MEDICAL COMPUTING; MEDICAL IMAGING;

AUTOMATIC APPLICATION; ENERGY MINIMIZATION; INTENSITY INHOMOGENEITY; LEVEL-SET EVOLUTION; MULTIPLICATIVE FACTORS; OBJECTIVE FUNCTIONS; VARIATIONAL LEVEL SET; VARIATIONAL LEVEL SET FORMULATIONS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFACT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551683085     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_130     Document Type: Conference Paper

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