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Volumn 7964, Issue , 2011, Pages

A novel class of machine-learning-driven real-time 2D/3D tracking methods: Texture model registration (TMR)

Author keywords

2D 3D registration; 2D 3D tracking; Image guided radiotherapy; Machine learning; Principal component regression; Real time; Texture model registration

Indexed keywords

2D/3D REGISTRATION; 2D/3D TRACKING; IMAGE GUIDED RADIOTHERAPY; MACHINE LEARNING; PRINCIPAL COMPONENT REGRESSION; REAL-TIME; TEXTURE MODEL REGISTRATION;

EID: 79955833915     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878147     Document Type: Conference Paper
Times cited : (4)

References (12)
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    • Evaluation of similarity measures for use in the intensity-based rigid 2D-3D registration for patient positioning in radiotherapy
    • Wu, J., Kim, M., Peters, J., Chung, H., and Samant, S. S., "Evaluation of similarity measures for use in the intensity-based rigid 2D-3D registration for patient positioning in radiotherapy, " Med. Phys. 36(12), 5391-5403 (2009).
    • (2009) Med. Phys. , vol.36 , Issue.12 , pp. 5391-5403
    • Wu, J.1    Kim, M.2    Peters, J.3    Chung, H.4    Samant, S.S.5
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    • R Development Core Team, R:, R Foundation for Statistical Computing, Vienna, Austria
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.