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Jhonatan Contreras1,2, Sara Mostafapour1, Jürgen Popp1,2

  • 1Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany.

PubMed
概括

罗网络为使用拉曼光谱识别细菌菌株提供了一个有前途的解决方案,特别是有限的数据. 语模型2实现了高灵敏度,在具有挑战性的场景中表现优于其他方法.

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