Preface

Yanhui Guo, University of Illinois at Springfield, Springfield, United States

Amira S. Ashour, Faculty of Engineering, Tanta University, Egypt

Medical images consist of imprecise and fuzzy information, which complicates the denoising, segmentation, feature extraction, and classification processes and analysis. To interpret this inherent uncertainty, vagueness, and ambiguity, different medical image analysis and processing procedures are explored and developed. Fuzzy sets are extensively used to handle the uncertainty and fuzziness in several domains. However, fuzzy sets have some limitations, owing to the unconsidered spatial context of the pixels due to the artifacts and noise. Consequently, unlike fuzzy logic, neutrosophic logic ...

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