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Volumn 5370 III, Issue , 2004, Pages 1701-1708

Comparison of different follow-up lung registration methods with and without segmentation

Author keywords

Computer aided detection; Computer tomography; Follow up study; Image registration; Image segmentation; Lung nodules

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; COMPUTER AIDED DIAGNOSIS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; RESPIRATORY SYSTEM; SCANNING;

EID: 5644233844     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.535345     Document Type: Conference Paper
Times cited : (24)

References (14)
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    • R. Wiemker, P. Rogalla, A. Zwartkruis, T. Blaffert, "Computer aided lung nodule detection on high resolution CT data", Proc. SPIE Medical Imaging 2002, San Diego, SPIE vol. 4684, 677-688, 2002.
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  • 3
    • 0042376076 scopus 로고    scopus 로고
    • Classification of lung nodules in diagnostic CT: An approach based on 3-D vascular feature, nodule density distribution, and shape features
    • San Diego, SPIE
    • S.-C. B. Lo, L.-Y Hsu, M. T. Freedman, Y.-M. F. Lure, H. Zhao, "Classification of Lung Nodules in Diagnostic CT: An Approach Based on 3-D Vascular Feature, Nodule Density Distribution, and Shape Features", proc. SPIE Medical Imaging 2003, San Diego, SPIE vol. 5032, 183-189, 2003.
    • (2003) Proc. SPIE Medical Imaging 2003 , vol.5032 , pp. 183-189
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  • 5
    • 0042860042 scopus 로고    scopus 로고
    • Identification of missed pulmonary nodules on low dose cancer screening studies using an automatic detection system
    • San Diego, SPIE
    • C. L. Novak, L. Fan, J. Qian, G.-Q. Wei, D. P. Naidich, "Identification of Missed Pulmonary Nodules on Low Dose Cancer Screening studies Using an Automatic Detection System", proc. SPIE Medical Imaging 2003, San Diego, SPIE vol. 5034, 439-447, 2003.
    • (2003) Proc. SPIE Medical Imaging 2003 , vol.5034 , pp. 439-447
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  • 6
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    • Landmark detection in the chest and registration of lung surfaces with an application to nodule registration
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    • M. Betke, H. Hong, D. Thomas, C. Prince, J. P. Ko, "Landmark detection in the chest and registration of lung surfaces with an application to nodule registration", Medical Image Analysis, 7, 265-281, Elsevier, 2003.
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    • Betke, M.1    Hong, H.2    Thomas, D.3    Prince, C.4    Ko, J.P.5
  • 7
    • 0035354205 scopus 로고    scopus 로고
    • Automatic lung segmentation for accurate quantification of volumetric X-ray CT images
    • S. Hu, E. A. Hoffman, J. M. Reinhardt, "Automatic Lung Segmentation for Accurate Quantification of Volumetric X-Ray CT Images", IEEE Trans. Med. Imag., 20(6), 490-498, 2001.
    • (2001) IEEE Trans. Med. Imag. , vol.20 , Issue.6 , pp. 490-498
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  • 10
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    • Watersheds in digital spaces: An efficient algorithm based on immersion simulations
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  • 13
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    • B-spline registration of 3D images with Levenberg-Marquardt optimization
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    • S. Kabus, T. Netsch, B. Fischer, J. Modersitzki, "B-Spline registration of 3D images with Levenberg-Marquardt optimization", proc. SPIE Medical Imaging 2004, San Diego, 2004 (to be published).
    • (2004) Proc. SPIE Medical Imaging 2004
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  • 14
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    • Bone suppression in CT angiography by region-based multi-resolution segmentation
    • San Diego
    • T. Blaffert, R. Wiemker, Z. S. Lin, "Bone suppression in CT angiography by region-based multi-resolution segmentation", proc. SPIE Medical Imaging 2003, San Diego, vol. 5032, 527-534, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.