3D kidney segmentation from CT images using a level set approach guided by a novel stochastic speed function

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 587-594

  Khalifa, Fahmi ^a   Elnakib, Ahmed ^a   Beache, Garth M ^b   Gimel'farb, Georgy ^c   El Ghar, Mohamed Abo ^d   Ouseph, Rosemary ^e   Sokhadze, Guela ^a   Manning, Samantha ^a   McClure, Patrick ^a   El Baz, Ayman ^a  

^a University of Louisville   (United States)

^b UNIVERSITY OF LOUISVILLE   (United States)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d MANSOURA UNIVERSITY   (Egypt)

^e University of Louisville School of Medicine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D SEGMENTATION; COMPUTED TOMOGRAPHY; CT DATA; CT IMAGE; EARLY DETECTION; GEOMETRIC DEFORMABLE MODELS; IMAGE INTENSITIES; KIDNEY SEGMENTATION; LEVEL SET APPROACH; MARKOV-GIBBS RANDOM FIELDS; NON-INVASIVE; PERFORMANCE EVALUATION; RECEIVER OPERATING CHARACTERISTICS; SHAPE PRIORS; SIMILARITY COEFFICIENTS; SPATIAL INTERACTION; SPEED FUNCTION;

COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; THREE DIMENSIONAL; TISSUE; TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; KIDNEY; METHODOLOGY; PATHOLOGY; PROBABILITY; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; STATISTICS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; AUTOMATION; HUMANS; IMAGING, THREE-DIMENSIONAL; KIDNEY; MARKOV CHAINS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PROBABILITY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; STOCHASTIC PROCESSES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 82255181672     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_72     Document Type: Conference Paper

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