Neutrosophic set in medical image clustering
Ahmed Refaat Hawas*; 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
Neutrosophic sets (NS) have a significant role for denoising, clustering, segmentation, and classification in numerous medical image-processing applications. For efficient development of computer-aided diagnosis systems, clustering techniques have been incorporated with NS to diminish uncertainty for efficient diagnosis. To integrate the clustering methods with NS for further clustering, the image is transformed ...
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