Adaptive liver segmentation from multi-slice CT scans

IFMBE Proceedings

Volumn 19 IFMBE, Issue , 2008, Pages 381-384

  Liu, Jia ^a   Hu, Q ^a   Chen, Z ^a   Heng, P ^a  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

Adaptive method; Segmentation; Support Vector Machine; Texture analysis; Thresholding

Indexed keywords

IMAGE SEGMENTATION; K-MEANS CLUSTERING; SUPPORT VECTOR MACHINES; TEXTURES;

ADAPTIVE METHODS; BINARY CLASSIFICATION METHODS; FALSE NEGATIVES; LEAVE ONE OUT METHODS; LIVER SEGMENTATION; MULTISLICE CT; TEXTURE ANALYSIS; THRESHOLDING;

COMPUTERIZED TOMOGRAPHY;

EID: 62949169953     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-79039-6_96     Document Type: Conference Paper

References (5)

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3. Robert M. Haralick (1979) Statistical and Structural Approaches to Texture. Proceedings of the IEEE, VOL. 67, NO.5: 786-804
4. Chih-Wei H, Chih-Chung C and Chih-Jen L (2008) A Practical Guide to Support Vector Classification. at http://www.csie.ntu.edu.tw/~cjlin
5. Hu QM, Qian GY, Teisler M, Huang S. (2008) Automatic and Adaptive brain morphometry of magnetic resonance scans. RadioGraphices 2008; 27(3)