메뉴 건너뛰기




Volumn 23, Issue 4, 2002, Pages 727-739

Comparison between radiological and artificial neural network diagnosis in clinical screening

(59)  Degenhard, A a,c   Tanner, C a,b   Hayes, C a,d   Hawkes, D J a,b   Leach, M O a   Eeles, R A g   Turnbull, L W g   Dixon, A K g,g   Brown, J g   Caines, R J g   Coulthard, A g   Dixon, J M g   Easton, D F g   Evans, D G R g   Gilbert, F G g   Hawnaur, J f   Kessar, P e   Lakhani, S g   Liney, G g   Moss, S M g   more..

g NONE

Author keywords

Artificial neural networks; Clinical imaging studies; Dynamic contrast enhanced imaging; Magnetic resonance imaging; Radiological diagnosis of breast cancer; Receiver operating characteristic curves

Indexed keywords

DIAGNOSIS; DISEASES; MEDICAL IMAGING; NEURAL NETWORKS;

EID: 0036853726     PISSN: 09673334     EISSN: None     Source Type: Journal    
DOI: 10.1088/0967-3334/23/4/311     Document Type: Article
Times cited : (26)

References (19)
  • 1
    • 0035841036 scopus 로고    scopus 로고
    • Feature extraction and classification of breast cancer on dynamic magnetic resonance imaging using artificial neural network
    • Abdolmaleki P, Buadu L D and Naderimansh H 2001 Feature extraction and classification of breast cancer on dynamic magnetic resonance imaging using artificial neural network Cancer Lett. 171 183-91
    • (2001) Cancer Lett. , vol.171 , pp. 183-191
    • Abdolmaleki, P.1    Buadu, L.D.2    Naderimansh, H.3
  • 5
    • 0028005364 scopus 로고
    • Prediction of breast cancer malignancy using an artificial neural network
    • Floyd C E, Lo J Y, Yun A J, Sullivan D C and Kornguth P J 1994 Prediction of breast cancer malignancy using an artificial neural network Cancer 74 11
    • (1994) Cancer , vol.74 , pp. 11
    • Floyd, C.E.1    Lo, J.Y.2    Yun, A.J.3    Sullivan, D.C.4    Kornguth, P.J.5
  • 6
    • 0011735157 scopus 로고    scopus 로고
    • Evolving artificial neural networks for screening features from mammograms
    • Fogel D B, Wasson E C, Boughton E M and Porto V W 1997 Evolving artificial neural networks for screening features from mammograms Radiat. Med. 15 283-93
    • (1997) Radiat. Med. , vol.15 , pp. 283-293
    • Fogel, D.B.1    Wasson, E.C.2    Boughton, E.M.3    Porto W. V4
  • 7
    • 0031657391 scopus 로고    scopus 로고
    • Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging
    • Gilhuijs K G A and Giger M L 1998 Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging Med. Phys. 25 1647
    • (1998) Med. Phys. , vol.25 , pp. 1647
    • Gilhuijs, K.G.A.1    Giger, M.L.2
  • 12
    • 0030226069 scopus 로고    scopus 로고
    • Application of a quantitative model to differentiate benign from malignant breast lesions detected by dynamic, gadolinium-enhanced MRI
    • Kelcz F, Santyr G E, Cron G O and Mongin S J 1996 Application of a quantitative model to differentiate benign from malignant breast lesions detected by dynamic, gadolinium-enhanced MRI J. Magn. Reson. Imaging 6 743
    • (1996) J. Magn. Reson. Imaging , vol.6 , pp. 743
    • Kelcz, F.1    Santyr, G.E.2    Cron, G.O.3    Mongin, S.J.4
  • 13
    • 0035057137 scopus 로고    scopus 로고
    • Classification of signal-time curves from dynamic MR mammography by neural networks
    • Lucht R E A, Knopp M V and Brix G 2001 Classification of signal-time curves from dynamic MR mammography by neural networks Magn. Reson. Imaging 19 51
    • (2001) Magn. Reson. Imaging , vol.19 , pp. 51
    • Lucht, R.E.A.1    Knopp M. V2    Brix, G.3
  • 14
    • 0034969334 scopus 로고    scopus 로고
    • Use of artificial neural networks (computer analysis) in the diagnosis of microcalcifications on mammography
    • Markopoulos C, Koukos E, Koufopoulos K, Kyriakou V and Gogas J 2001 Use of artificial neural networks (computer analysis) in the diagnosis of microcalcifications on mammography Eur J. Radiol. 39 60-5
    • (2001) Eur. J. Radiol. , vol.39 , pp. 60-65
    • Markopoulos, C.1    Koukos, E.2    Koufopoulos, K.3    Kyriakou, V.4    Gogas, J.5
  • 16
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • Stone M 1974 Cross-validatory choice and assessment of statistical predictions J. R. Stat. Soc. B 36 111
    • (1974) J. R. Stat. Soc. B , vol.36 , pp. 111
    • Stone, M.1
  • 17
    • 0033776831 scopus 로고    scopus 로고
    • Magnetic resonance imaging screening in women at genetic risk of breast cancer: Imaging and analysis protocol for the UK multicentre study
    • UK MRI Breast Screening Study Advisory Group, Imaging Advisors and Staff 2000 Magnetic resonance imaging screening in women at genetic risk of breast cancer: Imaging and analysis protocol for the UK multicentre study Magn. Reson. Imaging 18 765
    • (2000) Magn. Reson. Imaging , vol.18 , pp. 765
  • 19
    • 0027512684 scopus 로고
    • Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer
    • Wu Y, Giger M L, Doi K, Vyborny C J, Schmidt R A and Metz C E 1993 Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer Radiology 187 81
    • (1993) Radiology , vol.187 , pp. 81
    • Wu, Y.1    Giger, M.L.2    Doi, K.3    Vyborny, C.J.4    Schmidt, R.A.5    Metz, C.E.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.