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Your search keyword '"Dahshan, A."' showing total 15 results
Start Over Author "Dahshan, A." Publication Type Books
15 results on '"Dahshan, A."'

14. Rough Set Approach in Ultrasound Biomicroscopy Glaucoma Analysis.

Author

Banerjee, Soumya, Al-Qaheri, Hameed, El-Dahshan, El-Sayed A., and Hassanien, Aboul Ella

Abstract

In this paper, we present an automated approach for Ultrasound Biomicroscopy (UBM) glaucoma images analysis. To increase the efficiency of the introduced approach, an intensity adjustment process is applied first using the Pulse Coupled Neural Network with a median filter. This is followed by applying the PCNN-based segmentation algorithm to detect the boundary of the anterior chamber of the eye image. Then, glaucoma clinical parameters have been calculated and normalized, followed by application of a rough set analysis to discover the dependency between the parameters and to generate set of reduct that contains minimal number of attributes. Experimental results show that the introduced approach is very successful and has high detection accuracy. [ABSTRACT FROM AUTHOR]

Published
2010
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15. Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network.

Author

El-Dahshan, El-Sayed A., Hassanien, Aboul Ella, Radi, Amr, and Banerjee, Soumya

Abstract

The objective of this book chapter is to present the rough sets and pulse coupled neural network scheme for Ultrasound Biomicroscopy glaucoma images analysis. To increase the efficiency of the introduced scheme, an intensity adjustment process is applied first using the Pulse Coupled Neural Network (PCNN) with a median filter. This is followed by applying the PCNN-based segmentation algorithm to detect the boundary of the interior chamber of the eye image. Then, glaucoma clinical parameters have been calculated and normalized, followed by application of a rough set analysis to discover the dependency between the parameters and to generate set of reduct that contains minimal number of attributes. Finally, a rough confusion matrix is designed for discrimination to test whether they are normal or glaucomatous eyes. Experimental results show that the introduced scheme is very successful and has high detection accuracy. [ABSTRACT FROM AUTHOR]

Published
2009
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