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AuscultaBase：邁向基於人工智慧的身體聲音診斷的基礎模型
AuscultaBase 是一個基於深度學習的聽診分析框架，旨在通過整合多源數據和對比學習技術來提高身體聲音診斷的準確性和可靠性。
AuscultaBase: A Framework for AI-Powered Body Sound Diagnostics Using Contrastive Learning on a Large-Scale, Multi-Source Body Sound Database
This paper introduces AuscultaBase, a novel framework designed to improve body sound diagnostics by leveraging a large-scale, multi-source body sound database and contrastive learning techniques to train a robust diagnostic model.
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