Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials
Yu Hirabayashi,
Haruka Iga,
Hiroki Ogawa
et al.
Abstract:The microstructure is a critical factor governing the functionality of ceramic materials. Meanwhile, microstructural analysis of electron microscopy images of polycrystalline ceramics, which are geometrically complex and composed of countless crystal grains with porosity and secondary phases, has generally been performed manually by human experts. Objective pixel-based analysis (semantic segmentation) with high accuracy is a simple but critical step for quantifying microstructures. In this study, we apply neur… Show more
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