Advanced optimization-based neutrosophic sets for medical image denoising
Amira S. Ashour*; Yanhui Guo† * Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt† Department of Computer Science, University of Illinois at Springfield, Springfield, IL, United States
Abstract
Medical image denoising techniques play a critical role in computer-aided diagnosis systems. Recently, neutrosophic set-based denoising methods have proved their efficiency in different imaging modalities. However, to guarantee efficient mapping of the medical images to the NS domain, several operators in the NS process should be optimized. The chapter proposes a novel medical image denoising method ...
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