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Updated: May 10, 2025

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[病理学的基础模型]

Frederick Klauschen1,2,3, Jonas Dippel4,5, Klaus-Robert Müller6,4,7,8

  • 1Pathologisches Institut, Ludwig-Maximilians-Universität München, Thalkirchner Str. 36, 80337, München, Deutschland. f.klauschen@lmu.de.

Pathologie (Heidelberg, Germany)
|April 24, 2025
PubMed
概括

基础模型,预训练的神经网络,在病理学中增强AI. 这些模型提高了诊断准确度,使用较少的数据来进行诸如组织病理诊断等应用.

关键词:
人工智能的人工智能是人工智能.计算机辅助图像处理 计算机辅助图像处理基金会模型 基金会模型组织病理学 组织病理学机器学习 机器学习神经网络的神经网络的神经网络

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Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...
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