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Updated: Jul 29, 2026

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注册的多设备/染色组织学图像数据集,用于域异性的机器学习模型

Mieko Ochi1, Daisuke Komura2, Takumi Onoyama1,3

  • 1Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Scientific data
|April 3, 2024
PubMed
概括

一个新的数据集,扫描仪和手机的病理学图像 (PLISM),解决了由各种染色和成像设备引起的组织病理学图像中的偏差. 本资源有助于开发更强大的机器学习模型,用于数字病理学.

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Special Staining Techniques01:13

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Specialized staining techniques play a vital role in microbiology by enabling the visualization of specific bacterial structures that remain undetectable with standard microscopy methods. These techniques not only enhance the structural visualization of bacterial cells but also provide critical insights into their pathogenicity and classification. Additionally, they support diagnostic and research endeavors in microbiology by identifying key bacterial features.Capsule Staining for Virulence...