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Abstract X-ray tomography enables the nondestructive characterization of materials, and recent advances in micro-CT imaging technology have accelerated the acquisition and reconstruction of volumetric data. However, rapid scientific interpretation remains limited by image segmentation, which typically requires manual thresholding, user prompting, or material-specific model training before meaningful analysis can begin.
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessReview by * and Department of Computer Science, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, OH 45221-0030, USA * Author to whom correspondence should be addressed.
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Kowshik Bhowmik 1,* and Anca Ralescu 2 1 The College of Wooster, Mathematical and Computational Sciences, Wooster, OH 44691, USA 2 Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA * Author to whom correspondence should be addressed.
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