An active contour model for the segmentation of images with intensity inhomogeneities and bias field estimation

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Huang, Chencheng ^a   Zeng, Li ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ACTIVE CONTOUR MODEL; ALGORITHM; ARTICLE; BIAS FIELD ESTIMATION; CEREBROSPINAL FLUID; CHAN VESE MODEL; CLUSTER ANALYSIS; CLUSTERING CRITERION ENERGY FUNCTION; COMPARATIVE STUDY; CONTROLLED STUDY; DICE SIMILARITY COEFFICIENT; EXPERIMENTAL STUDY; FALSE NEGATIVE RATIO; FALSE POSITIVE RATIO; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; IMAGING AND DISPLAY; INTENSITY INHOMOGENEITY; JACCARD SIMILARITY; KERNEL METHOD; LI MODEL; LOCALLY STATISTICAL ACTIVE CONTOUR MODEL; MULTI PHASE LEVEL SET VARIATION FORMULATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PIECEWISE CONSTANT MODEL; QUANTITATIVE ANALYSIS; RADIOLOGICAL PARAMETERS; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS; STATISTICAL MODEL; STATISTICAL PARAMETERS; TWO PHASE LEVEL SET VARIATION FORMULATION; WHITE MATTER; IMAGE PROCESSING; PROCEDURES; THEORETICAL MODEL;

ALGORITHMS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, THEORETICAL;

EID: 84926435543     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0120399     Document Type: Article

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