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使用SAM算法对化学诱导的舌头病变应用β元素干预的疗效分析

Feng Liu1,2, Qinlong Zhang3, Weijie Zhang4

  • 1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China.

Anatomia, histologia, embryologia
|July 31, 2024
PubMed
概括

一个人工智能 (AI) 模型准确地量化了化学致癌物模型中的舌头病变变化. 这种人工智能帮助病理学家评估上皮质厚度和乳头,帮助评估治疗结果.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.细分任何东西模型模型.舌头癌症是一种癌症.

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相关概念视频

Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a result, EDTA...