Feature extraction for MRI segmentation.

@article{Velthuizen1999FeatureEF,
  title={Feature extraction for MRI segmentation.},
  author={Robert P. Velthuizen and Lawrence O. Hall and Laurence P. Clarke},
  journal={Journal of neuroimaging : official journal of the American Society of Neuroimaging},
  year={1999},
  volume={9 2},
  pages={85-90}
}
Magnetic resonance images (MRIs) of the brain are segmented to measure the efficacy of treatment strategies for brain tumors. To date, no reproducible technique for measuring tumor size is available to the clinician, which hampers progress of the search for good treatment protocols. Many segmentation techniques have been proposed, but the representation (features) of the MRI data has received little attention. A genetic algorithm (GA) search was used to discover a feature set from multi… CONTINUE READING
Highly Cited
This paper has 25 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

Texture Image Segmentation Based on Description Complexity

2007 IEEE International Conference on Control and Automation • 2007

4-D lesion detection using expectation-maximization and hidden Markov model

2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821) • 2004
View 1 Excerpt

Coevolutionary Fuzzy Modeling

Lecture Notes in Computer Science • 2004

Similar Papers

Loading similar papers…