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Approaches to training multiclass semantic image segmentation of damage in concrete
Authors:P. BAJCSY  S. FELDMAN  M. MAJURSKI  K. SNYDER  M. BRADY
Affiliation:1. Software and Systems Division, Information Technology Laboratory, NIST, Gaithersburg, Maryland, U.S.A.;2. Materials and Structual Systems Division, Engineering Laboratory, NIST, Gaithersburg, Maryland, U.S.A.
Abstract:
Keywords:Concrete samples  Electron microscopy  Image segmentation
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