A Radial Basis Function Neural Network (RBFNN) Approach for Structural Classification of Thyroid Diseases-Reference-Cited by-同舟云学术

A Radial Basis Function Neural Network (RBFNN) Approach for Structural Classification of Thyroid Diseases

Published:2008-01-08 Issue:3 Volume:32 Page:215-220
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Erol Rızvan,Oğulata Seyfettin Noyan,Şahin Cenk,Alparslan Z. Nazan

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-007-9125-5.pdf

Reference31 articles.

1. Werner, S. C., and Ingbar, S. H., Diseases of the thyroid. In: Werner, S. C., Ingbar S. H., et al., (Eds.), The thyroid: A fundamental and clinical text. 4th Ed. New York: Harper and Row, 1978, pp. 389–393.

2. Werner, S. C., Classification of thyroid diseases. Report of the committee on nomenclature. American Thyroid Association. J. Clin. Endocrinol. Metab. 29:860–862, 1969.

3. Braverman, L.E., and Utiger, R.D. (Eds.), The thyroid: a fundamental and clinical text, 8th Ed. Philadelphia, Lippincot Williams & Wilkins, 2000, pp. 515–719.

4. Monaco, F., Classification of thyroid diseases: suggestions for a revision. J. Clin. Endocrinol. Metab. 88:1428–1432, 2003.

5. Grünwald, F.B., Thyroid disease. In: Ell, P.J., and Gambhir, S.S., (Eds.), Nuclear medicine in clinical diagnosis and treatment. New York: Churchill Livingstone, pp. 383–392, 2004.

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