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Thyroid Volume Estimation Analysis with Neural and Fuzzy-Neuro Techniques - A Comparative Study
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 61 - Number 16 |
| Year of Publication: 2013 |
| Authors: M. Balakarthikeyan, B. Chidambararajan |
10.5120/10012-4949
|
M. Balakarthikeyan, B. Chidambararajan . Thyroid Volume Estimation Analysis with Neural and Fuzzy-Neuro Techniques - A Comparative Study. International Journal of Computer Applications. 61, 16 ( January 2013), 24-27. DOI=10.5120/10012-4949
Abstract
This paper presents a comparative study of various methods that used to identifies the thyroid volume from the ultrasound images. The Radial basis function neural network method, and by the hybrid structure of neural network and the fuzzy logic method. The performance of the algorithms Active Contour without edges, Localized region Based active contour and Distance Regularized Level Set will improve the results by 80%, the hybrid structure of the neuro – fuzzy method was improved from 81% to 92. 9% by using Fuzzy-RBF, Fuzzy-MLP, and Fuzzy-CSFNN methods. The result shows that the Fuzzy Neuro method gives the highest accuracy level the by using the neural network method for detecting the thyroid volume from the segmentation process.
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