A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans

Computational and Mathematical Methods in Medicine

Volumn 2014, Issue , 2014, Pages

  Platero, Carlos ^a   Tobar, M Carmen ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; GRAPHIC METHODS;

ATLAS-BASED SEGMENTATION; COMPUTATIONAL EFFORT; MULTI ATLAS-BASED SEGMENTATIONS; NONRIGID REGISTRATION; PROBABILISTIC ATLAS; REGIONS OF INTEREST; SEGMENTATION METHODS; SEGMENTATION RESULTS;

IMAGE SEGMENTATION;

ACCURACY; ANATOMICAL CONCEPTS; ARTICLE; BAYES THEOREM; COMPUTER ASSISTED TOMOGRAPHY; GEOMETRY; HUMAN; IMAGE ANALYSIS; LIVER SEGMENTATION; PROBABILITY; STATISTICAL MODEL; STATISTICAL PARAMETERS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; LIVER; LIVER TUMOR; PATHOLOGY; PROCEDURES; RADIOGRAPHY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BAYES THEOREM; HUMANS; IMAGING, THREE-DIMENSIONAL; LIVER; LIVER NEOPLASMS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PROBABILITY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84930989044     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2014/182909     Document Type: Article

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