Presentation Information
[WBP1-22]Deep-Learning-Based Single-Filament Detection for Anomaly Identification in MgB2 Multifilamentary Wires
*Kotomi Ogi1, Daito Fukui1, Kosuke Ando1, Yusuke Shimada2, Motomune Kodama3, Hideki Tanaka3, Akiyasu Yamamoto1 (1. Tokyo University of Agriculture and Technology (Japan), 2. Kyushu University (Japan), 3. Hitachi, Ltd. (Japan))
Keywords:
MgB2 multifilamentary wire,X-ray computed tomography,deep learning object detection
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