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Original name record: 青海登士达医疗器械有限公司; 青海卫生职业技术学院; 青海省药品检验检测院

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№ CN121353781AInvention
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基于机器学习的义齿质量检测方法及系统

本发明涉及机器学习技术领域，具体公开了一种基于机器学习的义齿质量检测方法及系统。该系统包括数据采集与预处理模块、多源特征融合与自适应表示模块、元学习驱动的缺陷检测核心模块、增量模型更新与知识蒸馏模块以及决策输出与反馈模块，通过多源特征融合与领域自适应技术提取领域不变性特征，结合元学习机制实现小样本快速适应，并利用增量学习与知识蒸馏持续优化模型，从而提升系统在多样化场景中的适应性、鲁棒性和长期演进能力。

❖青海登士达医疗器械有限公司; 青海卫生职业技术学院; 青海省药品检验检测院岳晓军; 付飞; 张敏娟; 季刘斌; 马文杰; 陈岳蓉; 汪占芳; 高志春; 李占仓; 张黎阳; 梁美齐; 孙晓宁; 龙存林; 赵志杰; 雷迪; 马琦; 余月红; 桂文菊; 井启彬; 谢军; 张亚鹏; 李洁; 雷婷; 张发莲; 魏海青; 蒲文光; 吴进红§ 2/10 ClaimsG06V 10/764 (2022.01), G06V 10/80 (2022.01), G06V 10/82 (2022.01) +714