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Volumn , Issue , 2004, Pages 587-592

Multi-view learning for Bronchovascular pair detection

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; IMAGE COMMUNICATION SYSTEMS; LEARNING ALGORITHMS; PARAMETER ESTIMATION; PERSONNEL TRAINING; PROBLEM SOLVING; RADIOLOGY;

EID: 28844464018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (19)
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    • ISBI 2004 , pp. 1135-1138
    • Prasad, M.1    Sowmya, A.2
  • 5
    • 17144408548 scopus 로고    scopus 로고
    • Learning discriminatory and descriptive rules by an inductive logic programming system
    • Palhang M., and Sowmya A., Learning Discriminatory and Descriptive Rules by an Inductive Logic Programming System, Proceedings of ICML, 99.
    • Proceedings of ICML , pp. 99
    • Palhang, M.1    Sowmya, A.2
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    • Learning logical definitions from relations
    • J. R. Quinlan, Learning logical definitions from relations. Machine Learning, 5:239-266, 90.
    • Machine Learning , vol.5 , pp. 239-266
    • Quinlan, J.R.1
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    • 0035437719 scopus 로고    scopus 로고
    • ERS Transform for automated detection of bronchial abnormalities on CT
    • Chabat F, Hu X, Hansell DM, Yang GZ, ERS Transform for automated detection of bronchial abnormalities on CT, IEEE Trans Medical Imaging, Vol 20(9), 942-952, 2001.
    • (2001) IEEE Trans Medical Imaging , vol.20 , Issue.9 , pp. 942-952
    • Chabat, F.1    Hu, X.2    Hansell, D.M.3    Yang, G.Z.4
  • 8
    • 0028316780 scopus 로고
    • Measurement of the internal size of bronchi using high resolution computed tomography
    • Seneterre, E., F. Paganin, J. M. Bruel, F. B. Michel, and J. Bousquet. 1994. Measurement of the internal size of bronchi using high resolution computed tomography. Eur. Respir. J. 7: 596-600.
    • (1994) Eur. Respir. J. , vol.7 , pp. 596-600
    • Seneterre, E.1    Paganin, F.2    Bruel, J.M.3    Michel, F.B.4    Bousquet, J.5
  • 10
    • 0022037766 scopus 로고    scopus 로고
    • Three-dimensional object recognition
    • P. J. Besl and R. C. Jain, Three-dimensional object recognition. Computing Surveys, 17(1):75-154, 85.
    • Computing Surveys , vol.17 , Issue.1 , pp. 75-154
    • Besl, P.J.1    Jain, R.C.2
  • 11
    • 0022674591 scopus 로고    scopus 로고
    • Model-based recognition in robot vision
    • R. T. Chin and C. R. Dyer. Model-based recognition in robot vision. Computing Surveys, 18(1):67-108, 86.
    • Computing Surveys , vol.18 , Issue.1 , pp. 67-108
    • Chin, R.T.1    Dyer, C.R.2
  • 12
    • 0004168072 scopus 로고    scopus 로고
    • Model-based object recognition, a survey of recent research
    • Department of Computer Science, University of British Columbia, January 94
    • A. R. Pope. Model-based object recognition, a survey of recent research. Technical Report 94-04, Department of Computer Science, University of British Columbia, January 94.
    • Technical Report , vol.94 , Issue.4
    • Pope, A.R.1
  • 14
    • 0023763996 scopus 로고    scopus 로고
    • Recognition of organs in CT-image sequences: A model guided approach
    • N. Karssemeijer, L. Van Erning, and E. Eijkman, Recognition of organs in CT-image sequences: A model guided approach, Comput. Biomed. Res., vol. 21, pp. 434-438, 98.
    • Comput. Biomed. Res. , vol.21 , pp. 434-438
    • Karssemeijer, N.1    Van Erning, L.2    Eijkman, E.3
  • 18
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    • Machine learning applications in anthropology: Automated discovery over kinship structures
    • Cunningham, Sally Jo. Machine learning applications in anthropology: automated discovery over kinship structures. In Computers and the Humanities 30, 1997, p 401-406.
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    • Cunningham1    Jo, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.