Adaptive fast marching method for automatic liver segmentation from CT images

Medical Physics

Volumn 40, Issue 9, 2013, Pages

  Song, Xiao ^a   Cheng, Ming ^b   Wang, Boliang ^b   Huang, Shaohui ^b   Huang, Xiaoyang ^b   Yang, Jinzhu ^c  

^a NANYANG NORMAL UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

^c NORTHEASTERN UNIVERSITY   (China)

Author keywords

adaptive fast marching method; computed tomography; computer aided; intensity statistics; liver segmentation

Indexed keywords

COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; NOISE ABATEMENT;

ADAPTIVE PARAMETER ADJUSTMENT; CLINICAL VALIDATIONS; COMPUTER AIDED; FALSE NEGATIVE RATE; FALSE POSITIVE RATES; FAST MARCHING METHODS; LIVER SEGMENTATION; TRUE POSITIVE RATES;

COMPUTERIZED TOMOGRAPHY;

ACCURACY; ALGORITHM; ARTICLE; CLINICAL ASSESSMENT; COMPUTER ASSISTED TOMOGRAPHY; DOSIMETRY; FAST MARCHING METHOD; IMAGE ANALYSIS; KIDNEY; LIVER; LIVER PARENCHYMA; LIVER SEGMENTATION; MATHEMATICAL ANALYSIS; MEDICAL INFORMATICS; NOISE REDUCTION; PRIORITY JOURNAL; RIB; SPINE; ABDOMINAL RADIOGRAPHY; AUTOMATION; HUMAN; IMAGE PROCESSING; PROCEDURES; RADIOGRAPHY; REPRODUCIBILITY; TIME; METHODOLOGY;

ALGORITHMS; AUTOMATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; TIME FACTORS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84883751474     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4819824     Document Type: Article

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