A novel region-based level set method initialized with mean shift clustering for automated medical image segmentation

Computers in Biology and Medicine

Volumn 43, Issue 11, 2013, Pages 1827-1832

  Bai, Pei Rui ^a   Liu, Qing Yi ^a   Li, Lei ^a   Teng, Sheng Hua ^a   Li, Jing ^a   Cao, Mao Yong ^a  

^a SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Global region information; Level set methods; Local region information; Mean shift clustering; Medical image segmentation

Indexed keywords

COMPUTATIONAL COSTS; CONTROLLING PARAMETERS; GLOBAL IMAGE INFORMATION; GLOBAL REGIONS; LEVEL SET METHOD; LOCAL REGION; MANUAL INTERVENTION; MEAN-SHIFT CLUSTERING;

CLUSTERING ALGORITHMS; DROP BREAKUP; EVOLUTIONARY ALGORITHMS; IMAGE SEGMENTATION; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING;

LEVEL MEASUREMENT;

ACCURACY; ARTICLE; AUTOMATION; COST; ENERGY; EVOLUTION; IMAGE ANALYSIS; INFORMATION PROCESSING; MOLECULAR EVOLUTION; PRIORITY JOURNAL;

GLOBAL REGION INFORMATION; LEVEL SET METHODS; LOCAL REGION INFORMATION; MEAN SHIFT CLUSTERING; MEDICAL IMAGE SEGMENTATION;

ALGORITHMS; CLUSTER ANALYSIS; DIAGNOSTIC IMAGING; FEMUR; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; PHANTOMS, IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84884393586     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.08.024     Document Type: Article

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