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Volumn 3217, Issue 1 PART 2, 2004, Pages 838-846

Pulmonary nodule classification based on nodule retrieval from 3-D thoracic CT image database

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DESIGN; COMPUTERIZED TOMOGRAPHY; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; DISEASES; MORPHOLOGY; PATIENT MONITORING; TUMORS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION MAKING; DIAGNOSIS; MEDICAL COMPUTING; MEDICAL IMAGING; POSITRON EMISSION TOMOGRAPHY; SEARCH ENGINES;

EID: 20344401063     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30136-3_102     Document Type: Conference Paper
Times cited : (8)

References (12)
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    • (1996) Radiology , vol.201 , pp. 798-802
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  • 2
    • 0026864119 scopus 로고
    • Image analysis methods for solitary pulmonary nodule characterization by computed tomography
    • Cavouras D., Prassopoulos P. and Pantelidis N.: Image analysis methods for solitary pulmonary nodule characterization by computed tomography. European Journal of Radiology, 14. (1992) 169-172
    • (1992) European Journal of Radiology , vol.14 , pp. 169-172
    • Cavouras, D.1    Prassopoulos, P.2    Pantelidis, N.3
  • 4
    • 0032981748 scopus 로고    scopus 로고
    • A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: Preliminary results
    • McNitt-Gray M. F., Hart E. M., Wyckoff N. Sayre J. W., Goldin J. G., and Aberle D. R.: A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: Preliminary results. Medical Physics. 26 (1999) 880-888
    • (1999) Medical Physics , vol.26 , pp. 880-888
    • McNitt-Gray, M.F.1    Hart, E.M.2    Wyckoff, N.S.J.W.3    Goldin, J.G.4    Aberle, D.R.5
  • 5
    • 0001691577 scopus 로고    scopus 로고
    • Curvature based internal structure analysis of pulmonary nodules using thoracic 3-D CT images
    • Kawata Y., Niki N., Ohmatsu H.: Curvature based internal structure analysis of pulmonary nodules using thoracic 3-D CT images. Trans IEICE, J83-DII (2000) 209-218
    • (2000) Trans IEICE , vol.J83-DII , pp. 209-218
    • Kawata, Y.1    Niki, N.2    Ohmatsu, H.3
  • 8
    • 0041538999 scopus 로고    scopus 로고
    • Potential clinical usefulness of an intelligent computer-aided diagnostic scheme for distinction between benign and malignant pulmonary nodules in low-dose CT scans
    • Li Q., Aoyama M., Li F., Sone S., MacMahon H. M., Doi K.: Potential clinical usefulness of an intelligent computer-aided diagnostic scheme for distinction between benign and malignant pulmonary nodules in low-dose CT scans. RSNA 2002 Scientific Program (2002) 534-535
    • (2002) RSNA 2002 Scientific Program , pp. 534-535
    • Li, Q.1    Aoyama, M.2    Li, F.3    Sone, S.4    MacMahon, H.M.5    Doi, K.6
  • 9
    • 0347252326 scopus 로고    scopus 로고
    • Example-based assisting approach for pulmonary nodule classification in three-dimensional thoracic computed tomography images
    • Kawata Y., Niki N., Ohmatsu H., Moriyama N.: Example-based assisting approach for pulmonary nodule classification in three-dimensional thoracic computed tomography images. Academic Radiology. 10 (2003) 1402-1415
    • (2003) Academic Radiology , vol.10 , pp. 1402-1415
    • Kawata, Y.1    Niki, N.2    Ohmatsu, H.3    Moriyama, N.4
  • 10
    • 0027542457 scopus 로고
    • B-spline signal processing: Part II: Efficient design and applications
    • Unser M., Aldroubi A., and Eden M.: B-spline signal processing: Part II: Efficient design and applications. IEEE Trans. Signal Processing. 41 (1993) 834-848
    • (1993) IEEE Trans. Signal Processing , vol.41 , pp. 834-848
    • Unser, M.1    Aldroubi, A.2    Eden, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.