Locating Brain Tumors from MR Imagery Using Symmetry

@article{Ray2007LocatingBT,
  title={Locating Brain Tumors from MR Imagery Using Symmetry},
  author={Navamita Ray and B. Saha and M. R. Graham Brown},
  journal={2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers},
  year={2007},
  pages={224-228}
}
Tumor/abnormality segmentation from magnetic resonance imagery (MRI) can play a significant role in cancer research and clinical practice. Although accurate tumor segmentation by radiologists is ideal, it is extremely tedious. Experience shows that for MRI database indexing purposes approximate segmentations can be adequate. In this paper, we propose a straightforward, real-time technique to find a bounding box around the brain abnormality in an MR image. Our algorithm exploits left-to-right… CONTINUE READING
Highly Cited
This paper has 45 citations. REVIEW CITATIONS
26 Citations
9 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

References

Publications referenced by this paper.
Showing 1-9 of 9 references

Automatic brain tumor

  • M. Schmidt
  • segmentation, M.Sc. Thesis, University of Alberta…
  • 2005
Highly Influential
4 Excerpts

, B . Roysam , “ Image Change Detection Algorithms : A Systematic Survey

  • S. Andra R. J. Radke, O. Al-Kofahi
  • IEEE Trans . Image Processing
  • 2006

Measures of the amount of ecologic association between species

  • L. R. Dice
  • Ecology, vol. 26, pp.297- 302, 1945.
  • 1945
1 Excerpt

Similar Papers

Loading similar papers…