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[人工智能在数字病理学中的模型可转移性:潜力和现实]

Robin S Mayer1, Maximilian N Kinzler1,2, Alexandra K Stoll1,3

  • 1Universitätsklinikum, Dr. Senckenbergisches Institut für Pathologie, Goethe-Universität Frankfurt, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Deutschland.

Pathologie (Heidelberg, Germany)
|February 19, 2024
PubMed
概括

提高人工智能 (AI) 模型在病理学中的可转移性对于现实世界的应用至关重要. 污点规范化和NoisyEnsemble方法显著提高了不同机构和组织的AI算法性能.

关键词:
人工智能的人工智能是人工智能.胆性瘤是一种胆性瘤.计算机辅助图像解释 计算机辅助图像解释深度学习是一种深度学习.神经网络,计算机,计算机

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