Optimizing computed tomographic angiography image segmentation using Fitness Based Partitioning

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

Volumn 4974 LNCS, Issue , 2008, Pages 275-284

  Eggermont, Jeroen ^a   Li, Rui ^b   Bovenkamp, Ernst G P ^a   Marquering, Henk ^a   Emmerich, Michael T M ^b   Van Der Lugt, Aad ^c   Bäck, Thomas ^b   Dijkstra, Jouke ^a   Reiber, Johan H C ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b LEIDEN UNIVERSITY   (Netherlands)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ANEMOMETERS; ANGIOGRAPHY; COMPUTATION THEORY; DIGITAL IMAGE STORAGE; IMAGE ENHANCEMENT; IMAGE PROCESSING; SOLUTIONS; THERMOGRAPHY (TEMPERATURE MEASUREMENT);

AUTOMATED SEGMENTATION; COMPUTED TOMOGRAPHIC ANGIOGRAPHY (CTA); EUROPEAN; EVOLUTIONARY COMPUTATION (EC); EVOLUTIONARY COMPUTING; HEIDELBERG (CO); IMAGE MODALITIES; OPTIMAL PARAMETER SETTINGS; OPTIMAL SEGMENTATION; PARAMETER SETTINGS; SEGMENTATION ALGORITHMS; SINGLE PARAMETER;

IMAGE SEGMENTATION;

EID: 47249092264     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78761-7_28     Document Type: Conference Paper

References (12)

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