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Volumn 7, Issue , 2007, Pages

Generating prior probabilities for classifiers of brain tumours using belief networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASTROCYTOMA; BRAIN TUMOR; CONTROLLED STUDY; CRANIOPHARYNGIOMA; DATA BASE; DISEASE CLASSIFICATION; EPENDYMOMA; GERM CELL TUMOR; HUMAN; INFORMATION PROCESSING; MEDICAL INFORMATION; MEDULLOBLASTOMA; NETWORK LEARNING; BAYES THEOREM; CANCER STAGING; CHILD; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; DIFFERENTIAL DIAGNOSIS; FACTUAL DATABASE; NEUROECTODERM TUMOR; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROBABILITY;

EID: 35448994869     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-7-27     Document Type: Article
Times cited : (12)

References (16)
  • 1
    • 0029990028 scopus 로고    scopus 로고
    • Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy
    • 10.1038/nm0396-323. 8612232
    • Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy. M Preul Z Caramanos D Collins J Villemure R Leblanc A Olivier R Pokrupa D Arnold, Nature Medicine 1996 2 3 323 325 10.1038/nm0396-323 8612232
    • (1996) Nature Medicine , vol.2 , Issue.3 , pp. 323-325
    • Preul, M.1    Caramanos, Z.2    Collins, D.3    Villemure, J.4    Leblanc, R.5    Olivier, A.6    Pokrupa, R.7    Arnold, D.8
  • 6
    • 85096814022 scopus 로고    scopus 로고
    • 1H MR spectra: A comparison of classification using whole spectra versus metabolite quantification
    • 1H MR spectra: a comparison of classification using whole spectra versus metabolite quantification. K Opstad C Ladroue B Bell J Griffiths F Howe, NMR in Biomedicine
    • NMR in Biomedicine
    • Opstad, K.1    Ladroue, C.2    Bell, B.3    Griffiths, J.4    Howe, F.5
  • 10
    • 34249295615 scopus 로고    scopus 로고
    • A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection
    • 10.1016/j.artmed.2007.02.002. 17466495
    • A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. J Luts A Heerschap J Suykens S Van Huffel, Artificial Intelligence in Medicine 2007 40 2 87 102 10.1016/j.artmed.2007.02.002 17466495
    • (2007) Artificial Intelligence in Medicine , vol.40 , Issue.2 , pp. 87-102
    • Luts, J.1    Heerschap, A.2    Suykens, J.3    Van Huffel, S.4
  • 11
    • 0027301923 scopus 로고
    • The new WHO classification of brain tumours
    • 8293185
    • The new WHO classification of brain tumours. P Kleihues P Burger B Scheithauer, Brain Pathology 1993 3 3 255 68 8293185
    • (1993) Brain Pathology , vol.3 , Issue.3 , pp. 255-268
    • Kleihues, P.1    Burger, P.2    Scheithauer, B.3
  • 15
    • 0001107873 scopus 로고
    • Improved Algorithm for Noniterative and Time-Domain Model Fitting to Exponentially Damped Magnetic Resonance Signals
    • Improved Algorithm for Noniterative and Time-Domain Model Fitting to Exponentially Damped Magnetic Resonance Signals. H Barkhuijsen R de Beer DV Ormondt, Journal of Magnetic Resonance 1987 73 553 557
    • (1987) Journal of Magnetic Resonance , vol.73 , pp. 553-557
    • Barkhuijsen, H.1    De Beer, R.2    Ormondt, D.V.3
  • 16
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on Cross-Validation: The .632+ Bootstrap Method
    • 10.2307/2965703
    • Improvements on Cross-Validation: The.632+ Bootstrap Method. B Efron R Tibshirani, Journal of the American Statistical Assocation 1997 92 438 548 560 10.2307/2965703
    • (1997) Journal of the American Statistical Assocation , vol.92 , Issue.438 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.