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Updated: Sep 17, 2025

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
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Published on: May 3, 2018

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通过利用多个组织切片的共同性,通过使用图形卷积网络来增强整个幻灯片图像分类

Sakonporn Noree1, Willmer Rafell Quinones Robles1, Young Sin Ko2

  • 1Graduate School of Data Science, Department of Industrial and System Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea.

BMC medical imaging
|July 2, 2025
PubMed
概括

这项研究引入了一种基于图形的全幻灯片图像 (WSI) 分类新方法,该方法利用整个组织切片的共同模式. 这种方法显著提高了癌症诊断的分类准确性和AUROC.

关键词:
共同性的共同性深度学习是一种深度学习.基于图表的分类是基于图表的分类.组织病理学 组织病理学整个幻灯片图像的分类整体幻灯片图像的分类.

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