Level-set segmentation of brain tumors using a threshold-based speed function

Image and Vision Computing

Volumn 28, Issue 1, 2010, Pages 26-37

  Taheri, S ^a   Ong, S H ^a   Chong, V F H ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL UNIVERSITY HOSPITAL   (Singapore)

Author keywords

3D segmentation; Level set; Threshold

Indexed keywords

ALGORITHMS; LEVEL MEASUREMENT; MAGNETIC RESONANCE IMAGING; SURVEYING INSTRUMENTS; THREE DIMENSIONAL; TUMORS;

3D SEGMENTATION; ACCURATE ESTIMATION; BRAIN TUMORS; CONFIDENCE INTERVAL; DENSITY FUNCTIONS; EQUATION PARAMETER; EVOLUTION PROCESS; EXPLICIT KNOWLEDGE; GLOBAL THRESHOLD; LEVEL SET APPROACH; LEVEL SETS; LEVEL-SET; MAGNETIC RESONANCE IMAGES; SEMI-AUTOMATICS; SPEED FUNCTION; THRESHOLD; TUMOR SEGMENTATION; TUMOR SHAPE; USER INVOLVEMENT;

SET THEORY;

EID: 70449521374     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.04.005     Document Type: Article

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