메뉴 건너뛰기




Volumn E85-D, Issue 10, 2002, Pages 1710-1718

Neural filter with selection of input features and its application to image quality improvement of medical image sequences

Author keywords

Automatically selection; Dynamic filter; Edge preserving; Input feature; Optimal input

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); MEDICAL IMAGING; NEURAL NETWORKS; X RAY ANALYSIS;

EID: 0036826125     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (50)

References (36)
  • 1
    • 33747767506 scopus 로고
    • Efficient multiframe Wiener restoration of blurred and noisy image sequences
    • Oct.
    • M.K. Ozkan, A.T. Erdem, M.I. Sezan, and A.M. Tekalp, "Efficient multiframe Wiener restoration of blurred and noisy image sequences," IEEE Trans. Image Processing, vol.1, no.4, pp.453-476. Oct. 1992.
    • (1992) IEEE Trans. Image Processing , vol.1 , Issue.4 , pp. 453-476
    • Ozkan, M.K.1    Erdem, A.T.2    Sezan, M.I.3    Tekalp, A.M.4
  • 4
    • 0027659445 scopus 로고
    • Image sequence filtering in quantum-limited noise with applications to low-dose fluoroscopy
    • March
    • C.L. Chan, A.K. Katsaggelos, and A.V. Sahakian, "Image sequence filtering in quantum-limited noise with applications to low-dose fluoroscopy," IEEE Trans. Med. Imaging, vol.12, no.3. pp.610-621, March 1993.
    • (1993) IEEE Trans. Med. Imaging , vol.12 , Issue.3 , pp. 610-621
    • Chan, C.L.1    Katsaggelos, A.K.2    Sahakian, A.V.3
  • 5
    • 0029480099 scopus 로고
    • X-ray fluoroscopy spatio-temporal filtering with object detection
    • April
    • R. Aufrichtig and D.L. Wilson, "X-ray fluoroscopy spatio-temporal filtering with object detection," IEEE Trans. Med. Imaging, vol.14, no.4, pp.733-746, April 1995.
    • (1995) IEEE Trans. Med. Imaging , vol.14 , Issue.4 , pp. 733-746
    • Aufrichtig, R.1    Wilson, D.L.2
  • 7
    • 0025607713 scopus 로고
    • A nonlinear digital filter using multi-layered neural networks
    • K. Arakawa and H. Harashima, "A nonlinear digital filter using multi-layered neural networks," Proc. IEEE Int. Conf. Commun., vol.2, pp.424-428, 1990.
    • (1990) Proc. IEEE Int. Conf. Commun. , vol.2 , pp. 424-428
    • Arakawa, K.1    Harashima, H.2
  • 8
    • 0000178566 scopus 로고
    • Design of layered-neural nonlinear filters using back-propagation algorithm
    • March
    • K. Arakawa and H. Harashima, "Design of layered-neural nonlinear filters using back-propagation algorithm," IEICE Trans. Fundamentals (Japanese Edition), vol. J74-A, no.3, pp.421-429, March 1991.
    • (1991) IEICE Trans. Fundamentals (Japanese Edition) , vol.J74-A , Issue.3 , pp. 421-429
    • Arakawa, K.1    Harashima, H.2
  • 9
    • 0027561348 scopus 로고
    • A new class of nonlinear filters - Neural filters
    • March
    • L. Yin, J. Astola, and Y. Neuvo, "A new class of nonlinear filters - neural filters," IEEE Trans. Signal Processing, vol.41, no.3, pp.1201-1222, March 1993.
    • (1993) IEEE Trans. Signal Processing , vol.41 , Issue.3 , pp. 1201-1222
    • Yin, L.1    Astola, J.2    Neuvo, Y.3
  • 10
    • 0028375309 scopus 로고
    • Adaptive multistage weighted order statistic filters based on the back propagation algorithm
    • Feb.
    • L. Yin, J. Astola, and Y. Neuvo, "Adaptive multistage weighted order statistic filters based on the back propagation algorithm," IEEE Trans. Signal Processing, vol.42, no.2, pp.419-422, Feb. 1994.
    • (1994) IEEE Trans. Signal Processing , vol.42 , Issue.2 , pp. 419-422
    • Yin, L.1    Astola, J.2    Neuvo, Y.3
  • 11
    • 0030194343 scopus 로고    scopus 로고
    • Structure and properties of generalized adaptive neural filters for signal enhancement
    • July
    • Z.Z. Zhang and N. Ansari, "Structure and properties of generalized adaptive neural filters for signal enhancement." IEEE Trans. Neural Networks, vol.7, no.4, pp.857-868, July 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.4 , pp. 857-868
    • Zhang, Z.Z.1    Ansari, N.2
  • 12
    • 0030151627 scopus 로고    scopus 로고
    • Speeding up the generalized adaptive neural filters
    • May
    • H. Hanek and N. Ansari, "Speeding up the generalized adaptive neural filters," IEEE Trans. Image Processing, vol.5, no.4, pp.705-712, May 1996.
    • (1996) IEEE Trans. Image Processing , vol.5 , Issue.4 , pp. 705-712
    • Hanek, H.1    Ansari, N.2
  • 13
    • 0000159435 scopus 로고    scopus 로고
    • Improvement of image quality of X-ray fluoroscopy using spatiotemporal neural filter which learns noise reduction and edge enhancement
    • Oct.
    • K. Suzuki, I. Horiba, N. Sugie, and S. Ikeda, "Improvement of image quality of X-ray fluoroscopy using spatiotemporal neural filter which learns noise reduction and edge enhancement," Proc. Int. Conf. Signal Proc. Appli. and Tech., vol.2, pp.1382-1386, Oct. 1996.
    • (1996) Proc. Int. Conf. Signal Proc. Appli. and Tech. , vol.2 , pp. 1382-1386
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3    Ikeda, S.4
  • 15
    • 0033334510 scopus 로고    scopus 로고
    • Efficient approximation of a neural filter for quantum noise removal in X-ray images
    • IEEE Press, Piscataway, NJ
    • K. Suzuki, I. Horiba, and N. Sugie, "Efficient approximation of a neural filter for quantum noise removal in X-ray images," Neural Networks for Signal Processing IX, pp.370-379, IEEE Press, Piscataway, NJ, 1999.
    • (1999) Neural Networks for Signal Processing IX , pp. 370-379
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 16
    • 0000356876 scopus 로고    scopus 로고
    • An analysis of the neural filter trained to improve quality of images with quantum noise and realization of approximate filter
    • March
    • K. Suzuki, I. Horiba, and N. Sugie, "An analysis of the neural filter trained to improve quality of images with quantum noise and realization of approximate filter," Trans. IPSJ. vol.41, no.3, pp.711-721, March 2000.
    • (2000) Trans. IPSJ , vol.41 , Issue.3 , pp. 711-721
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 18
    • 0034510479 scopus 로고    scopus 로고
    • Training under achievement quotient criterion
    • IEEE Press, Piscataway, NJ
    • K. Suzuki, I. Horiba, and N. Sugie, "Training under achievement quotient criterion," Neural Networks for Signal Processing X, pp.537-546, IEEE Press, Piscataway, NJ, 2000.
    • (2000) Neural Networks for Signal Processing X , pp. 537-546
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 19
    • 0036647658 scopus 로고    scopus 로고
    • Efficient approximation of neural filters for removing quantum noise from images
    • July
    • K. Suzuki, I. Horiba, and N. Sugie, "Efficient approximation of neural filters for removing quantum noise from images," IEEE Trans. Signal Processing, vol.50, no.7, pp.1787-1799, July 2002.
    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.7 , pp. 1787-1799
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 20
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • K. Funahashi, "On the approximate realization of continuous mappings by neural networks," Neural Networks, vol.2, pp.183-192, 1989.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 21
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • March
    • A.R. Barron, "Universal approximation bounds for superpositions of a sigmoidal function." IEEE Trans. Inf. Theory, vol.39, no.3, pp.930-945, March 1993.
    • (1993) IEEE Trans. Inf. Theory , vol.39 , Issue.3 , pp. 930-945
    • Barron, A.R.1
  • 22
    • 12244249317 scopus 로고    scopus 로고
    • Improving image quality of medical image sequences using a neural filter with selection of input features
    • K. Suzuki, I. Horiba, N. Sugie, and M. Nanki, "Improving image quality of medical image sequences using a neural filter with selection of input features," Trans. IPSJ, vol.42, no.8, pp.2176-2188, 2001.
    • (2001) Trans. IPSJ , vol.42 , Issue.8 , pp. 2176-2188
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3    Nanki, M.4
  • 23
    • 0029338665 scopus 로고
    • Recognition of coronary arterial stenosis using neural network on DSA system
    • Aug.
    • K. Suzuki, I. Horiba, K. Ikegaya, and M. I. Nanki, "Recognition of coronary arterial stenosis using neural network on DSA system," Systems and Computers in Japan, vol.26, no.8, pp.66-74, Aug. 1995.
    • (1995) Systems and Computers in Japan , vol.26 , Issue.8 , pp. 66-74
    • Suzuki, K.1    Horiba, I.2    Ikegaya, K.3    Nanki, M.I.4
  • 24
    • 0022471098 scopus 로고
    • Learning representations of back-propagation errors
    • D.E. Rumelhart, G.E. Hinton, and R.J. Williams, "Learning representations of back-propagation errors." Nature, vol.323, pp.533-536, 1986.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 25
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • chapter 8, MFF Press, MA
    • D.E. Rumelhart, G.E. Hinton. and R.J. Williams, "Learning internal representations by error propagation," vol.1 of Parallel Distributed Processing, chapter 8, pp.318-362, MFF Press, MA, 1986.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 26
    • 0031631570 scopus 로고    scopus 로고
    • Designing the optimal structure of a neural filter
    • IEEE Press, Piscataway, NJ
    • K. Suzuki, I. Horiba, and N. Sugie, "Designing the optimal structure of a neural filter," Neural Networks for Signal Processing VIII, pp.323-332, IEEE Press, Piscataway, NJ, 1998.
    • (1998) Neural Networks for Signal Processing VIII , pp. 323-332
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 27
    • 0000467529 scopus 로고    scopus 로고
    • A method for determining reduced structure of a neural filter
    • Dec.
    • K. Suzuki, I. Horiba, and N. Sugie, "A method for determining reduced structure of a neural filter," Trans. IPSJ, vol.40, no.12, pp.4226-4238, Dec. 1999.
    • (1999) Trans. IPSJ , vol.40 , Issue.12 , pp. 4226-4238
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 28
    • 0035251045 scopus 로고    scopus 로고
    • A simple neural network pruning algorithm with application to filter synthesis
    • Feb.
    • K. Suzuki, I. Horiba, and N. Sugie, "A simple neural network pruning algorithm with application to filter synthesis," Neural Processing Letters, vol.13, no.1, pp.43-53, Feb. 2001.
    • (2001) Neural Processing Letters , vol.13 , Issue.1 , pp. 43-53
    • Suzuki, K.1    Horiba, I.2    Sugie, N.3
  • 30
    • 0005196583 scopus 로고    scopus 로고
    • Development of a high definition real-time digital radiography system using a 4 million pixels CCD camera
    • Feb.
    • F. Takahashi, K. Ishikawa, and T. Taniguchi, et al., "Development of a high definition real-time digital radiography system using a 4 million pixels CCD camera," Proc. SPIE Medical Imaging, vol.3032, pp.364-375, Feb. 1997.
    • (1997) Proc. SPIE Medical Imaging , vol.3032 , pp. 364-375
    • Takahashi, F.1    Ishikawa, K.2    Taniguchi, T.3
  • 32
    • 0025136283 scopus 로고
    • Effect of various noise sources on the detective quantum efficiency of phosphor screens
    • R. Nishikawa and M.J. Yaffe, "Effect of various noise sources on the detective quantum efficiency of phosphor screens," Medical Physics, vol.17, no.5, pp.887-893, 1990.
    • (1990) Medical Physics , vol.17 , Issue.5 , pp. 887-893
    • Nishikawa, R.1    Yaffe, M.J.2
  • 33
    • 0025156138 scopus 로고
    • Model of the spatial-frequency-dependent detective quantum efficiency of phosphor screens
    • R. Nishikawa and M.J. Yaffe, "Model of the spatial-frequency-dependent detective quantum efficiency of phosphor screens," Medical Physics, vol.17, no.5, pp.894-904, 1990.
    • (1990) Medical Physics , vol.17 , Issue.5 , pp. 894-904
    • Nishikawa, R.1    Yaffe, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.