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Volumn 1194, Issue , 2014, Pages 22-24

Automatic liver segmentation using multiple prior knowledge models and free-form deformation

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; COMPUTERIZED TOMOGRAPHY; DEFORMATION; MEDICAL IMAGING;

EID: 84925282088     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (5)
  • 2
    • 84917741400 scopus 로고    scopus 로고
    • Automatic liver detection and segmentation from 3D CT images: A hybrid method using statistical pose model and probabilistic atlas
    • [Huang13]
    • [Huang13] C. Huang, F. Jia, C. Fang, Y. Fan, Q. Hu. Automatic liver detection and segmentation from 3D CT images: A hybrid method using statistical pose model and probabilistic atlas. International Journal of Computer Assisted Radiology and Surgery, 8(S1):237-238, 2013.
    • (2013) International Journal of Computer Assisted Radiology and Surgery , vol.8 , Issue.S1 , pp. 237-238
    • Huang, C.1    Jia, F.2    Fang, C.3    Fan, Y.4    Hu, Q.5
  • 5
    • 84956660861 scopus 로고    scopus 로고
    • Volumetric medical images segmentation using shape constrained deformable models
    • [Montagnat97],. Springer Berlin Heidelberg
    • [Montagnat97] J. Montagnat, H. Delingette. Volumetric medical images segmentation using shape constrained deformable models. CVRMed-MRCAS'97. Springer Berlin Heidelberg 13-22 1997
    • (1997) CVRMed-MRCAS'97 , pp. 13-22
    • Montagnat, J.1    Delingette, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.