next up previous
Next: About this document ... Up: Using Adaptive Fuzzy Rules Previous: Summary

References

1
A. M. Bensaid and L. O. H. et al.
Partially supervised clustering for image segmentation.
Pattern Recognition, 29(5):859-871, 1996.

2
M. Clark, L. Hall, and D. Goldgof.
Using fuzzy information in knowledge guided segmentation of brain tumors.
In Fuzzy Logic in AI Workshop at IJCAI 1995, 1995.
Montreal, CA, August.

3
M. C. Clark.
Segmenting mri volumes of the brain with knowledge-based clustering.
Master's thesis, University of South Florida, 1994.

4
M. C. Clark, L. O. Hall, and et al.
Mri segmentation using fuzzy clustering techniques: Integrating knowledge.
IEEE Engg. in Medicine and Biology, 13(5):730-742, 1994.

5
B. Dasarthy.
Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques.
IEEE Computer Society Press, Los Alamitos, Ca., 1991.

6
L. O. Hall, A. M. Bensaid, and et al.
A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain.
IEEE transactions on Neural Networks, 3(5):672-682, 1992.

7
R. Langley.
Practical Statistics Simply Explained, Revised Edition.
Dover publications, Inc, 1970.

8
W. Menhardt.
Mr tissue characterization using iconic fuzzy sets.
In Tissue Characterization in MR Imaging, pages 13-24, 1981.

9
M. Vaidyanathan, L. Clarke, C. Heidtman, R. Velthuizen, and L. Hall.
Normal brain volume measurements using multispectral mri segmentation.
Magnetic Resonance Imaging, 1997.

10
M. Vaidyanathan, L. Clarke, R. Velthuizen, S. Phuphanich, A. Bensaid, L. Hall, J. Bezdek, and M. Silbiger.
Comparison of supervised mri segmentation methods for tumor volume determination during therapy.
Magnetic Resonance Imaging, 13(5):729-738, 1995.

11
R. Velthuizen.
Feature Extraction with Genetic Algorithms for Fuzzy Clustering.
PhD thesis, University of South Florida, 1996.

12
R. Velthuizen, S. Phuphanich, L. Clarke, L. Hall, A. Bensaid, J. Arrington, and M. Silbiger.
Unsupervised brain tumor volume measurement using magnetic resonance images.
Journal of Magnetic Resonance Imaging, 5:594-605, 1995.

13
J. S. Weszka and A. Rosenfeld.
Histogram modification for threshold selection.
IEEE Transactions on systems, Man, and Cybernetics, 9(1):38-52, Jan 1979.

14
S. W. Young.
Magnetic resonance imaging : basic principles.
Raven Press, New York, second edition, 1988.



Larry Hall
5/26/1998