메뉴 건너뛰기




Volumn 6144 III, Issue , 2006, Pages

Characterization of pulmonary nodules features on Computer Tomography (CT) scans using wavelet coefficients and heat maps

Author keywords

CT; Heat Map; Lung nodules; Wavelet coefficients

Indexed keywords

HEAT MAP; LUNG NODULES; REGION-OF-INTEREST (ROI); WAVELET COEFFICIENTS;

EID: 33745126652     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.653198     Document Type: Conference Paper
Times cited : (3)

References (33)
  • 1
    • 0026864119 scopus 로고
    • Image analysis methods for solitary pulmonary nodule characterization by computed tomography
    • Cavouras, D., P. Prassopoulos, and N. Pantelidis: "Image analysis methods for solitary pulmonary nodule characterization by computed tomography", Eur J Radiol., 14(3), pp. 169-172, 1992.
    • (1992) Eur J Radiol. , vol.14 , Issue.3 , pp. 169-172
    • Prassopoulos, C.D.P.1    Pantelidis, N.2
  • 2
    • 0030729353 scopus 로고    scopus 로고
    • Neural networks for the analysis of small pulmonary nodules
    • Henschke, C.I., et al.: "Neural networks for the analysis of small pulmonary nodules", Clin Imaging, 21(6), pp: 390-399, 1997.
    • (1997) Clin Imaging , vol.21 , Issue.6 , pp. 390-399
    • Henschke, C.I.1
  • 3
    • 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., et al., "A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: preliminary results", Med Phys., 26(6), pp: 880-888, 1999.
    • (1999) Med Phys. , vol.26 , Issue.6 , pp. 880-888
    • McNitt-Gray, M.F.1
  • 4
    • 0344771075 scopus 로고    scopus 로고
    • The effects of co-occurrence matrix based texture parameters on the classification of solitary pulmonary nodules imaged on computed tomography
    • McNitt-Gray, M.F., et al.: "The effects of co-occurrence matrix based texture parameters on the classification of solitary pulmonary nodules imaged on computed tomography", Comput Med Imaging Graph. 23(6), pp: 339-348, 1999.
    • (1999) Comput Med Imaging Graph. , vol.23 , Issue.6 , pp. 339-348
    • McNitt-Gray, M.F.1
  • 5
    • 0005196889 scopus 로고    scopus 로고
    • Three-dimensional shape characterization of solitary pulmonary nodules from helical CT scans
    • Elsevier Science, Amsterdam
    • Reeves, A.P., et al.: "Three-dimensional shape characterization of solitary pulmonary nodules from helical CT scans", In Computer Assisted Radiology and Surgery (CARS '99). Elsevier Science, Amsterdam, pp:83-87, 1999.
    • (1999) Computer Assisted Radiology and Surgery (CARS '99) , pp. 83-87
    • Reeves, A.P.1
  • 6
    • 0033687494 scopus 로고    scopus 로고
    • Quantitative analysis of internal texture for classification of pulmonary nodules in three-dimensional thoracic images
    • Kawata, Y., et al.: "Quantitative analysis of internal texture for classification of pulmonary nodules in three-dimensional thoracic images", Proc of SPIE, 3979, pp: 863-871, 2000.
    • (2000) Proc of SPIE , vol.3979 , pp. 863-871
    • Kawata, Y.1
  • 7
    • 0034845242 scopus 로고    scopus 로고
    • Automated detection of lung nodules in CT scans: Preliminary results
    • Armato, S.O., M.L. Giger, and H. MacMahon: "Automated detection of lung nodules in CT scans: preliminary results", Med Phys., 28(8), p. 1552-1561, 2001.
    • (2001) Med Phys. , vol.28 , Issue.8 , pp. 1552-1561
    • Armato, S.O.1    Giger, M.L.2    MacMahon, H.3
  • 8
    • 0035999397 scopus 로고    scopus 로고
    • Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images
    • Aoyama, M., et al.: "Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images", Med Phys., 29(5), pp. 701-708, 2002.
    • (2002) Med Phys. , vol.29 , Issue.5 , pp. 701-708
    • Aoyama, M.1
  • 9
    • 0037408445 scopus 로고    scopus 로고
    • Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance-initial experience
    • Shiraishi, J., et al.: "Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance-initial experience", Radiology, 227(2), pp. 469-474, 2003.
    • (2003) Radiology , vol.227 , Issue.2 , pp. 469-474
    • Shiraishi, J.1
  • 10
    • 0038038910 scopus 로고    scopus 로고
    • Automated lung nodule classification following automated nodule detection on CT: A serial approach
    • 10: Armato, S.G., et al.: "Automated lung nodule classification following automated nodule detection on CT: a serial approach", Med Phys., 30(6), pp. 1188-1197, 2003.
    • (2003) Med Phys. , vol.30 , Issue.6 , pp. 1188-1197
    • Armato, S.G.1
  • 11
    • 0347252326 scopus 로고    scopus 로고
    • Example-based assisting approach for pulmonary nodule classification in three-dimensional thoracic computed tomography images
    • Kawata, Y., et al.: "Example-based assisting approach for pulmonary nodule classification in three-dimensional thoracic computed tomography images", Acad Radiol., 10(12), pp: 1402-1415, 2003.
    • (2003) Acad Radiol. , vol.10 , Issue.12 , pp. 1402-1415
    • Kawata, Y.1
  • 12
    • 0037342845 scopus 로고    scopus 로고
    • Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images
    • Aoyama, M., et al.: "Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images", Med Phys., 30(3), pp: 387-394, 2003.
    • (2003) Med Phys. , vol.30 , Issue.3 , pp. 387-394
    • Aoyama, M.1
  • 13
    • 16544368188 scopus 로고    scopus 로고
    • Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy
    • Li, F., et al.: "Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy", AJR Am J Roentgenol., 183(5), p. 1209-1215, 2004.
    • (2004) AJR Am J Roentgenol. , vol.183 , Issue.5 , pp. 1209-1215
    • Li, F.1
  • 14
    • 18044398535 scopus 로고    scopus 로고
    • Computer-aided diagnosis of the solitary pulmonary nodule
    • Shah, S.K., et al.: "Computer-aided diagnosis of the solitary pulmonary nodule", Acad Radiol., 12(5), pp: 570-575, 2005.
    • (2005) Acad Radiol. , vol.12 , Issue.5 , pp. 570-575
    • Shah, S.K.1
  • 15
    • 20144389758 scopus 로고    scopus 로고
    • Solitary pulmonary nodule diagnosis on CT: Results of an observer study
    • Shah, S.K., et al.: "Solitary pulmonary nodule diagnosis on CT: Results of an observer study", Acad Radiol., 12(4), pp: 496-501, 2005.
    • (2005) Acad Radiol. , vol.12 , Issue.4 , pp. 496-501
    • Shah, S.K.1
  • 21
    • 0002192277 scopus 로고
    • Frame decompositions, sampling, and uncertainty principle inequalities
    • J.B.a.M. Frazier, Editor. CRC Press
    • Benedetto, J.J.: "Frame decompositions, sampling, and uncertainty principle inequalities", In Wavelets: Mathematics and Applications, J.B.a.M. Frazier, Editor. CRC Press, pp. 247-304, 1994.
    • (1994) Wavelets: Mathematics and Applications , pp. 247-304
    • Benedetto, J.J.1
  • 22
    • 0033018791 scopus 로고    scopus 로고
    • Image feature extraction for mass detection in digital mammography: Influence of wavelet analysis
    • Qian, W., L. Li, and L.P. Clarke: "Image feature extraction for mass detection in digital mammography: Influence of wavelet analysis", Med Phys., 26(3), pp: 402-408, 1999.
    • (1999) Med Phys. , vol.26 , Issue.3 , pp. 402-408
    • Qian, W.1    Li, L.2    Clarke, L.P.3
  • 23
    • 0037375835 scopus 로고    scopus 로고
    • Analysis of mammogram classification using a wavelet transform decomposition
    • Rocha-Ferreira, C.B. and D.L. Borges: "Analysis of mammogram classification using a wavelet transform decomposition", Pattern Recogn., 24(7), pp: 973-982, 2003.
    • (2003) Pattern Recogn. , vol.24 , Issue.7 , pp. 973-982
    • Rocha-Ferreira, C.B.1    Borges, D.L.2
  • 24
    • 0033233283 scopus 로고    scopus 로고
    • Classifying mammographie mass shapes using the wavelet transform modulus-maxima method
    • Bruce, L.M. and R.R. Adhami: "Classifying mammographie mass shapes using the wavelet transform modulus-maxima method", IEEE Trans Med Imaging, 18(12), pp: 1170-1177, 1999.
    • (1999) IEEE Trans Med Imaging , vol.18 , Issue.12 , pp. 1170-1177
    • Bruce, L.M.1    Adhami, R.R.2
  • 25
    • 0037646051 scopus 로고    scopus 로고
    • Highly regular wavelets for the detection of clustered microcalcifications in mammograms
    • Lemaur, G., K. Drouiche, and J. DeConinck: "Highly regular wavelets for the detection of clustered microcalcifications in mammograms", IEEE Trans Med Imaging, 22(3), pp: 393-401, 2003.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.3 , pp. 393-401
    • Lemaur, G.1    Drouiche, K.2    DeConinck, J.3
  • 26
    • 0037646050 scopus 로고    scopus 로고
    • Integrated wavelets for enhancement of microcalcifications in digital mammography
    • Heinlein, P., J. Drexl, and W. Schneider: "Integrated wavelets for enhancement of microcalcifications in digital mammography", IEEE Trans Med Imaging, 22(3), pp: 402-413, 2003.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.3 , pp. 402-413
    • Heinlein, P.1    Drexl, J.2    Schneider, W.3
  • 30
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: The .632+ bootstrap method
    • Efron, B. and R. Tibshirani: "Improvements on cross-validation: the .632+ bootstrap method", J Am Stat Assoc, 92, pp: 548-560, 1997.
    • (1997) J Am Stat Assoc , vol.92 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2
  • 31
    • 0037245343 scopus 로고    scopus 로고
    • Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification
    • Simon, R., et al.: "Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification", J Natl Cancer Inst., 95(1), pp: 14-18, 2003.
    • (2003) J Natl Cancer Inst. , vol.95 , Issue.1 , pp. 14-18
    • Simon, R.1
  • 32
    • 0037342845 scopus 로고    scopus 로고
    • Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images
    • Aoyama, M., et al.: "Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images", Med Phys., 30(3), pp: 387-394, 2003.
    • (2003) Med Phys. , vol.30 , Issue.3 , pp. 387-394
    • Aoyama, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.