A region-appearance-based adaptive variational model for 3D liver segmentation

Medical Physics

Volumn 41, Issue 4, 2014, Pages

  Peng, Jialin ^a   Dong, Fangfang ^b   Chen, Yunmei ^c   Kong, Dexing ^d  

^a HUAQIAO UNIVERSITY   (China)

^b ZHEJIANG GONGSHANG UNIVERSITY   (China)

^c UNIVERSITY OF FLORIDA   (United States)

^d ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELING; COMPUTERIZED TOMOGRAPHY; TISSUE;

COMPUTED TOMOGRAPHY IMAGES; CONTEXT INFORMATION; ENERGY FUNCTIONALS; LIVER SEGMENTATION; QUANTITATIVE VALIDATION; SEMIAUTOMATIC METHODS; STATE-OF-THE-ART METHODS; VARIATIONAL MODELING;

IMAGE SEGMENTATION;

ARTICLE; AUTOMATION; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; ENERGY; HUMAN; IMAGE ANALYSIS; LIVER; LIVER SEGMENTATION; MEDICAL INFORMATION; THREE DIMENSIONAL IMAGING; ALGORITHM; PROCEDURES; RADIOGRAPHY; STATISTICAL MODEL;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; LIVER; MODELS, STATISTICAL; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84896306537     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4866837     Document Type: Article

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