August 2019
Intermediate to advanced
370 pages
10h 53m
English
Content preview from Neutrosophic Set in Medical Image Analysis
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Preface
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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.