A new kernel-based fuzzy level set method for automated segmentation of medical images in the presence of intensity inhomogeneity

Computational and Mathematical Methods in Medicine

Volumn 2014, Issue , 2014, Pages

  Rastgarpour, Maryam ^a   Shanbehzadeh, Jamshid ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b KHARAZMI UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; IMAGE SEGMENTATION; NUMERICAL METHODS;

AUTOMATED SEGMENTATION; CONTROLLING PARAMETERS; INTENSITY INHOMOGENEITY; LEVEL SET ALGORITHM; LEVEL SET METHOD; LEVEL-SET EVOLUTION; ROBUST SEGMENTATION; SEGMENTATION ACCURACY;

MEDICAL IMAGE PROCESSING;

ACCURACY; ARTICLE; AUTOMATION; CLINICAL EFFECTIVENESS; FUZZY SYSTEM; IMAGE RECONSTRUCTION; KERNEL METHOD; MEDICAL IMAGE AUTOMATED SEGMENTATION; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; DIAGNOSTIC IMAGING; FUZZY LOGIC; HUMAN; IMAGE PROCESSING; MEDICAL INFORMATICS; NORMAL DISTRIBUTION; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CLUSTER ANALYSIS; DIAGNOSTIC IMAGING; FUZZY LOGIC; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MEDICAL INFORMATICS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84896825764     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2014/978373     Document Type: Article

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