Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection EMERGING TECHNOLOGIES IN MULTI-PARAMETER BIOMEDICAL OPTICAL IMAGING AND IMAGE

Saved in:
Bibliographic Details
Published inIEEE transactions on biomedical engineering Vol. 57; no. 10; pp. 2622 - 2626
Main Authors XING ZHANG, JIE TIAN, KEXIN DENG, YONGFANG WU, XIULI LI
Format Journal Article
LanguageEnglish
Published New York, NY Institute of Electrical and Electronics Engineers 2010
Subjects
Applied sciences
Biological and medical sciences
Digestive system
Exact sciences and technology
Image processing
Information, signal and communications theory
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Signal processing
Telecommunications and information theory
Human
Radiodiagnosis
Segmentation
Image processing
Digestive system
Liver
principal component analysis (PCA)
Hough transformation
Pattern recognition
Optimal detection
Statistical method
statistical shape model (SSM)
Statistical model
liver segmentation
Medical imagery
Computerized axial tomography
minimum s-t cut
Generalized Hough transform (GHT)
Principal component analysis
Biomedical engineering
Online AccessGet full text

Cover

More Information
ISSN:0018-9294
1558-2531