Automatic detection of Alzheimer disease in brain magnetic resonance images using fractal features

@article{Lahmiri2013AutomaticDO,
  title={Automatic detection of Alzheimer disease in brain magnetic resonance images using fractal features},
  author={Salim Lahmiri and Mounir Boukadoum},
  journal={2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)},
  year={2013},
  pages={1505-1508}
}
This paper describes a fractal-based processing methodology to detect Alzheimer's disease (AD) in brain magnetic resonance images (MRI). The proposed diagnosis system does not require image preprocessing and segmentation, leading to a simple implementation. The brain MRI is transformed first into a one-dimensional (1-D) signal for faster processing. Then, a three-component feature vector is extracted to characterize the 1-D signal's local and global fractal features. The features include Hurst… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 23 REFERENCES

R

  • F. Segovia, J. M. Górriz, J. Ramírez, D. Salas-González, I. Álvarez, M. López
  • Chaves and P. Padilla, “Classification of…
  • 2010
Highly Influential
5 Excerpts

Noah

  • B. B. Mandelbrot, J. R. Wallis
  • joseph, and operational hydrology,” Water…
  • 1968
Highly Influential
4 Excerpts

and A

  • M. Maitra
  • Chatterjee, “A Slantlet transform based…
  • 2006
Highly Influential
3 Excerpts

F

  • D. Salas-Gonzalez, J. M. Górriz, J. Ramíreza, I. Álvareza, M. López
  • Segovia, and C.G. Puntonet, “Two approaches to…
  • 2011
3 Excerpts

R

  • I. A. Illán, J. M. Górriz, M. M. López, J. Ramírez, D. Salas-Gonzalez, F. Segovia
  • Chaves and C.G. Puntonet, “Computer aided…
  • 2011

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