Segmentation of brain MRI structures with deep machine learning

@inproceedings{Gonzlez2012SegmentationOB,
  title={Segmentation of brain MRI structures with deep machine learning},
  author={Alberto Gonz{\'a}lez},
  year={2012}
}
Several studies on brain Magnetic Resonance Images (MRI) show relations between neuroanatomical abnormalities of brain structures and neurological disorders, such as Attention Defficit Hyperactivity Disorder (ADHD) and Alzheimer. These abnormalities seem to be correlated with the size and shape of these structures, and there is an active field of research trying to find accurate methods for automatic MRI segmentation. In this project, we study the automatic segmentation of structures from the… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 63 REFERENCES

Automatic segmentation of the caudate nuclei using active appearance models

  • K. O. Babalola, V. Petrovic, T. F. Cootes, C. J. Taylor, C. J. Twining, A Mills
  • T. Heimann, M. Styner, and B. van Ginneken…
  • 2007
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…