CN109697476A - 一种基于深度学习的x射线光子计数探测器一致性校准方法 - Google Patents
一种基于深度学习的x射线光子计数探测器一致性校准方法 Download PDFInfo
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Cited By (6)
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CN112013891A (zh) * | 2019-05-28 | 2020-12-01 | 罗伯特·博世有限公司 | 用于使用人工神经网络校准多传感器系统的方法 |
CN112989714A (zh) * | 2021-05-08 | 2021-06-18 | 同方威视技术股份有限公司 | 探测器调整模型的训练方法和装置 |
WO2021210612A1 (ja) * | 2020-04-16 | 2021-10-21 | 浜松ホトニクス株式会社 | 放射線画像取得装置、放射線画像取得システム、及び放射線画像取得方法 |
WO2021210618A1 (ja) * | 2020-04-16 | 2021-10-21 | 浜松ホトニクス株式会社 | 放射線画像処理方法、学習済みモデル、放射線画像処理モジュール、放射線画像処理プログラム、及び放射線画像処理システム |
WO2021210617A1 (ja) * | 2020-04-16 | 2021-10-21 | 浜松ホトニクス株式会社 | 放射線画像処理方法、学習済みモデル、放射線画像処理モジュール、放射線画像処理プログラム、放射線画像処理システム、及び機械学習方法 |
CN113919398A (zh) * | 2021-10-18 | 2022-01-11 | 中国科学院光电技术研究所 | 一种基于深度学习的非视域目标信号辨识方法 |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112013891A (zh) * | 2019-05-28 | 2020-12-01 | 罗伯特·博世有限公司 | 用于使用人工神经网络校准多传感器系统的方法 |
CN112013891B (zh) * | 2019-05-28 | 2024-03-22 | 罗伯特·博世有限公司 | 用于使用人工神经网络校准多传感器系统的方法 |
WO2021210612A1 (ja) * | 2020-04-16 | 2021-10-21 | 浜松ホトニクス株式会社 | 放射線画像取得装置、放射線画像取得システム、及び放射線画像取得方法 |
WO2021210618A1 (ja) * | 2020-04-16 | 2021-10-21 | 浜松ホトニクス株式会社 | 放射線画像処理方法、学習済みモデル、放射線画像処理モジュール、放射線画像処理プログラム、及び放射線画像処理システム |
WO2021210617A1 (ja) * | 2020-04-16 | 2021-10-21 | 浜松ホトニクス株式会社 | 放射線画像処理方法、学習済みモデル、放射線画像処理モジュール、放射線画像処理プログラム、放射線画像処理システム、及び機械学習方法 |
CN112989714A (zh) * | 2021-05-08 | 2021-06-18 | 同方威视技术股份有限公司 | 探测器调整模型的训练方法和装置 |
CN112989714B (zh) * | 2021-05-08 | 2021-10-08 | 同方威视技术股份有限公司 | 探测器调整模型的训练方法和装置 |
CN113919398A (zh) * | 2021-10-18 | 2022-01-11 | 中国科学院光电技术研究所 | 一种基于深度学习的非视域目标信号辨识方法 |
CN113919398B (zh) * | 2021-10-18 | 2023-06-16 | 中国科学院光电技术研究所 | 一种基于深度学习的非视域目标信号辨识方法 |
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