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Volumn 5, Issue 3, 2004, Pages 203-216

Evidential segmentation scheme of multi-echo MR images for the detection of brain tumors using neighborhood information

Author keywords

Conflict; Data fusion; Decision; Evidence theory; Multi modality imaging; Neighborhood relationship; Segmentation

Indexed keywords

BRAIN; DATA ACQUISITION; DEMODULATION; INFORMATION ANALYSIS; POSITRON EMISSION TOMOGRAPHY; TUMORS;

EID: 3142676666     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2003.10.001     Document Type: Article
Times cited : (77)

References (40)
  • 1
    • 0002629281 scopus 로고
    • Probabilités et incertitudes en fusion de données multi-senseurs
    • Appriou A. Probabilités et incertitudes en fusion de données multi-senseurs. Revue Scientifique et Technique de la Défense. 11:1991;27-40.
    • (1991) Revue Scientifique et Technique de la Défense , vol.11 , pp. 27-40
    • Appriou, A.1
  • 2
    • 0040687585 scopus 로고    scopus 로고
    • Incertitude, imprécision et additivité en fusion de données: Point de vue historique
    • Bloch I. Incertitude, imprécision et additivité en fusion de données: point de vue historique. Traitement du Signal. 13(4):1996;267-288.
    • (1996) Traitement du Signal , vol.13 , Issue.4 , pp. 267-288
    • Bloch, I.1
  • 3
    • 84990553605 scopus 로고    scopus 로고
    • Representation and combination of uncertainty with belief functions and possibility measures
    • Dubois D., Prade H. Representation and combination of uncertainty with belief functions and possibility measures. Computational Intelligence. 4:1998;244-264.
    • (1998) Computational Intelligence , vol.4 , pp. 244-264
    • Dubois, D.1    Prade, H.2
  • 5
    • 0000516376 scopus 로고
    • Upper and lower probabilities induced by multivalued mapping
    • Dempster A. Upper and lower probabilities induced by multivalued mapping. Annals of Mathematical Statistics. 38:1967;325-339.
    • (1967) Annals of Mathematical Statistics , vol.38 , pp. 325-339
    • Dempster, A.1
  • 6
    • 0025661620 scopus 로고
    • Multi-spectral classification of MR images using sensor fusion approaches
    • R.H. Lee, R. Leahy, Multi-spectral classification of MR images using sensor fusion approaches, in: SPIE Medical Imaging IV: Image Processing 1233, 1990, pp. 149-157.
    • (1990) SPIE Medical Imaging IV: Image Processing , vol.1233 , pp. 149-157
    • Lee, R.H.1    Leahy, R.2
  • 7
    • 0043109738 scopus 로고
    • Evidential reasoning based on Dempster-Shafer theory and its application to medical image analysis
    • S.Y. Chen. W.C. Lin, C.T. Chen, Evidential reasoning based on Dempster-Shafer theory and its application to medical image analysis, in: SPIE 2032, 1993, pp. 35-46.
    • (1993) SPIE , vol.2032 , pp. 35-46
    • Chen, S.Y.1    Lin, W.C.2    Chen, C.T.3
  • 8
    • 0025535927 scopus 로고
    • Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualisation of the left ventricle
    • Atlanta
    • D.Y. Suh, R.M. Mersereau, R.L. Eisner, R.I. Pettigrew, Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualisation of the left ventricle, in: First conference on Visualization in Biomedical Computing, Atlanta, 1990, pp. 149-156.
    • (1990) First Conference on Visualization in Biomedical Computing , pp. 149-156
    • Suh, D.Y.1    Mersereau, R.M.2    Eisner, R.L.3    Pettigrew, R.I.4
  • 9
    • 0030192238 scopus 로고    scopus 로고
    • Some aspects of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume into account
    • Bloch I. Some aspects of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume into account. Pattern Recognition Letters. 17:1996;905-919.
    • (1996) Pattern Recognition Letters , vol.17 , pp. 905-919
    • Bloch, I.1
  • 11
    • 0002792194 scopus 로고    scopus 로고
    • What is Dempster-Shafer's model?
    • R.R. Yager, M. Fedrizzi, J. Kacprzyk (Eds.), New York
    • P. Smets, What is Dempster-Shafer's model? in: R.R. Yager, M. Fedrizzi, J. Kacprzyk (Eds.), Advances in the Dempster-Shafer Theory of Evidence, New York, pp. 5-34.
    • Advances in the Dempster-Shafer Theory of Evidence , pp. 5-34
    • Smets, P.1
  • 12
    • 0028406490 scopus 로고
    • The transferable belief model
    • Smets P., Kennes R. The transferable belief model. Artificial Intelligence. 66(2):1994;191-234.
    • (1994) Artificial Intelligence , vol.66 , Issue.2 , pp. 191-234
    • Smets, P.1    Kennes, R.2
  • 15
    • 0026822833 scopus 로고
    • Computational aspect of the Möbius Transformation of graphs
    • Kennes R. Computational aspect of the Möbius Transformation of graphs. IEEE Transactions on Systems, Man and Cybernetics. 22:1992;201-223.
    • (1992) IEEE Transactions on Systems, Man and Cybernetics , vol.22 , pp. 201-223
    • Kennes, R.1
  • 18
    • 0033902309 scopus 로고    scopus 로고
    • A neural network classifier based on Dempster-Shafer theory
    • Denœux T. A neural network classifier based on Dempster-Shafer theory. IEEE Transactions on Systems, Man and Cybernetics. 30(2):2000;131-150.
    • (2000) IEEE Transactions on Systems, Man and Cybernetics , vol.30 , Issue.2 , pp. 131-150
    • Denœux, T.1
  • 19
    • 0000587796 scopus 로고
    • Belief function representations of statistical evidence
    • Walley P. Belief function representations of statistical evidence. The Annals of Statistics. 15(4):1987;1439-1465.
    • (1987) The Annals of Statistics , vol.15 , Issue.4 , pp. 1439-1465
    • Walley, P.1
  • 22
    • 0026122354 scopus 로고
    • On the justification of Dempster's rule of combinations
    • Voorbraak F. On the justification of Dempster's rule of combinations. Artificial Intelligence. 1991;171-197.
    • (1991) Artificial Intelligence , pp. 171-197
    • Voorbraak, F.1
  • 24
    • 0012056265 scopus 로고
    • On the validity of Dempster's rule of combination of evidence
    • University of California, Berkeley
    • L.A. Zadeh, On the validity of Dempster's rule of combination of evidence, University of California, Berkeley, 1979, ERL Memo M79/24.
    • (1979) ERL Memo , vol.M79-24
    • Zadeh, L.A.1
  • 25
    • 0023311178 scopus 로고
    • On the Dempster-Shafer framework and new combination rules
    • Yager R.R. On the Dempster-Shafer framework and new combination rules. Information Sciences. 41:1987;93-137.
    • (1987) Information Sciences , vol.41 , pp. 93-137
    • Yager, R.R.1
  • 28
    • 0031189743 scopus 로고    scopus 로고
    • Analysis of evidence-theoretic decision rules for pattern classification
    • Denœux T. Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognition. 30(7):1997;1095-1107.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1095-1107
    • Denœux, T.1
  • 29
    • 0014710323 scopus 로고
    • On optimum recognition error and reject tradeoff
    • Chow C.K. On optimum recognition error and reject tradeoff. IEEE Transactions on Information Theory. 16:1970;41-46.
    • (1970) IEEE Transactions on Information Theory , vol.16 , pp. 41-46
    • Chow, C.K.1
  • 30
    • 0027242497 scopus 로고
    • A statistical decision rule with incomplete knowledge about classes
    • Dubuisson B., Masson M. A statistical decision rule with incomplete knowledge about classes. Pattern Recognition. 26(1):1993;155-165.
    • (1993) Pattern Recognition , vol.26 , Issue.1 , pp. 155-165
    • Dubuisson, B.1    Masson, M.2
  • 32
    • 0002953717 scopus 로고    scopus 로고
    • Contribution des mesures d'information à la modélisation crédibiliste de connaissances
    • Lefevre E., Colot O., Vannoorenberghe P., de Brucq D. Contribution des mesures d'information à la modélisation crédibiliste de connaissances. Traitement du Signal. 17(2):2000;1-11.
    • (2000) Traitement du Signal , vol.17 , Issue.2 , pp. 1-11
    • Lefevre, E.1    Colot, O.2    Vannoorenberghe, P.3    De Brucq, D.4
  • 34
    • 0035746783 scopus 로고    scopus 로고
    • Likelihood-based vs distance-based evidential classifiers
    • Melbourne. Australia, December
    • P. Vannoorenberghe, T. Denœux, Likelihood-based vs distance-based evidential classifiers, in: FUZZ-IEEE'2001, Melbourne. Australia, December 2001.
    • (2001) FUZZ-IEEE'2001
    • Vannoorenberghe, P.1    Denœux, T.2
  • 35
    • 0003106837 scopus 로고
    • Belief functions: The disjunctive rule of combination and the Generalized Bayesian Theorem
    • Smets P. Belief functions: The disjunctive rule of combination and the Generalized Bayesian Theorem. International Journal of Approximate Reasoning. 9:1993.
    • (1993) International Journal of Approximate Reasoning , vol.9
    • Smets, P.1
  • 38
    • 0028390325 scopus 로고
    • Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain
    • Mitchell J.R., Kalik S.J., Lee D.H., Fenster A. Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain. Journal of Magnetic Resonance Imaging. 4:1994;197-208.
    • (1994) Journal of Magnetic Resonance Imaging , vol.4 , pp. 197-208
    • Mitchell, J.R.1    Kalik, S.J.2    Lee, D.H.3    Fenster, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.