메뉴 건너뛰기




Volumn 28, Issue 3, 2003, Pages 307-322

Brain volumes characterisation using hierarchical neural networks

Author keywords

3D density classification; Artificial neural networks; Brain imaging; Hierarchical neural networks

Indexed keywords

BRAIN; NEURAL NETWORKS; PATHOLOGY; RADIOLOGY; TISSUE;

EID: 0043071487     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(03)00061-7     Document Type: Article
Times cited : (15)

References (16)
  • 1
    • 0031061994 scopus 로고    scopus 로고
    • A hierarchical neural network architecture for handwritten numeral recognition
    • Cao J., Ahmadi M., Shridar M. A hierarchical neural network architecture for handwritten numeral recognition. Pattern Recognit. 30(2):1997;289-294.
    • (1997) Pattern Recognit. , vol.30 , Issue.2 , pp. 289-294
    • Cao, J.1    Ahmadi, M.2    Shridar, M.3
  • 3
    • 0001697746 scopus 로고    scopus 로고
    • Non-linear neural enhancement of anatomical differences in deformed brain MR-images
    • Di Bona S., Huwer S., Niemann H., Salvetti O. Non-linear neural enhancement of anatomical differences in deformed brain MR-images. Pattern Recognit. Image Anal. 9:1999;55-65.
    • (1999) Pattern Recognit. Image Anal. , vol.9 , pp. 55-65
    • Di Bona, S.1    Huwer, S.2    Niemann, H.3    Salvetti, O.4
  • 5
    • 0034929737 scopus 로고    scopus 로고
    • Approach for 3D volumes matching
    • Nasrabadi NM, Katsaggelos AK, editors. Artificial Neural Networks in Image Processing. Bellingham, WA, USA: SPIE- Int. Soc. Opt. Eng
    • Di Bona S, Salvetti O. Approach for 3D volumes matching. In: Nasrabadi NM, Katsaggelos AK, editors. Proceedings of the IS&TI SPIE 13th International Symposium on Electronic Imaging 2001, vol. 4305. Artificial Neural Networks in Image Processing. Bellingham, WA, USA: SPIE- Int. Soc. Opt. Eng; 2001. p. 73-80.
    • (2001) Proceedings of the IS&TI SPIE 13th International Symposium on Electronic Imaging 2001 , vol.4305 , pp. 73-80
    • Di Bona, S.1    Salvetti, O.2
  • 6
    • 0029377815 scopus 로고
    • Parallel, self-organizing, hierarchical neural networks with continuous inputs and outputs
    • Ersoy O.K., Deng S.W. Parallel, self-organizing, hierarchical neural networks with continuous inputs and outputs. IEEE Trans. Neural Networks. 6(5):1995;1037-1044.
    • (1995) IEEE Trans. Neural Networks , vol.6 , Issue.5 , pp. 1037-1044
    • Ersoy, O.K.1    Deng, S.W.2
  • 7
    • 0043105200 scopus 로고
    • A morphometric and densitometric approach to image interpretation
    • Evangelista R., Salvetti O. A morphometric and densitometric approach to image interpretation. Pattern Recognit. Image Anal. 3:1993;103-110.
    • (1993) Pattern Recognit. Image Anal. , vol.3 , pp. 103-110
    • Evangelista, R.1    Salvetti, O.2
  • 10
    • 0043105201 scopus 로고    scopus 로고
    • Brain modelling by structural and functional data fusion
    • Lutzemberger L., Salvetti O. Brain modelling by structural and functional data fusion. Acta Neurochir. 138(5):1996;613-614.
    • (1996) Acta Neurochir. , vol.138 , Issue.5 , pp. 613-614
    • Lutzemberger, L.1    Salvetti, O.2
  • 12
    • 0031283432 scopus 로고    scopus 로고
    • Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
    • Reddick W.E., Glass J.O., Cook E.N., Elkin T.D., Deaton R.J. Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks. IEEE Trans. Med. Imaging. 16:1997;911-918.
    • (1997) IEEE Trans. Med. Imaging , vol.16 , pp. 911-918
    • Reddick, W.E.1    Glass, J.O.2    Cook, E.N.3    Elkin, T.D.4    Deaton, R.J.5
  • 14
    • 0030270445 scopus 로고    scopus 로고
    • Classification of mass and normal breast tissue: A convolution neural network classifier with spatial domain and texture images
    • Sahiner B., Chan H., Petrick N., Wei D., Helvie M.A., Adler D.D.et al. Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Trans. Med. Imaging. 15:1996;598-610.
    • (1996) IEEE Trans. Med. Imaging , vol.15 , pp. 598-610
    • Sahiner, B.1    Chan, H.2    Petrick, N.3    Wei, D.4    Helvie, M.A.5    Adler, D.D.6
  • 15
    • 0029519822 scopus 로고
    • A hierarchical neural network architecture that learns target context: applications to digital mammography
    • Los Alamitos, CA, USA: IEEE Comput. Soc. Press
    • Sajda P, Spence C, Pearson J. A hierarchical neural network architecture that learns target context: applications to digital mammography. In: Proceedings of the 1995 International Conference on Image Processing, vol. 3. Los Alamitos, CA, USA: IEEE Comput. Soc. Press; 1995. p. 3149-51.
    • (1995) Proceedings of the 1995 International Conference on Image Processing , vol.3 , pp. 3149-3151
    • Sajda, P.1    Spence, C.2    Pearson, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.