Transfer learning approach with Voronoi-based synthetic data for high-accuracy segmentation of equiaxed grain boundaries

Publication Information

Title

Japanese:	Transfer learning approach with Voronoi-based synthetic data for high-accuracy segmentation of equiaxed grain boundaries
English:	Transfer learning approach with Voronoi-based synthetic data for high-accuracy segmentation of equiaxed grain boundaries

Author

Japanese:	尾崎滉一, 野平直希, 田原正樹, 熊澤逸夫, 細田秀樹.
English:	Koichi Ozaki, Naoki Nohira, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda.

Language

English

Journal/Book name

Japanese:	Computational Materials Science
English:	Computational Materials Science

Volume, Number, Page

Volume 262 Page 114378

Published date

Jan. 30, 2026

Publisher

Japanese:
English:

Conference name

Japanese:
English:

Conference site

Japanese:
English:

Official URL

DOI