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Updated: Sep 13, 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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奥肯:一个监督的进化优化尺寸缩小框架,用于整张幻灯片图像分类

Soroush Oskouei1,2, André Pedersen3, Marit Valla4,5

  • 1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway.

Bioengineering (Basel, Switzerland)
|July 29, 2025
PubMed
概括

本研究引入了人工智能框架,用于使用数字病理学的肺癌亚型分类. 这种新的方法提高了分析整个幻灯片图像 (WSIs) 的准确性和效率,优于内部数据集上的现有模型.

关键词:
深度学习是一种深度学习.数字病理学数字病理学减少维度,减少维度.进化算法是一种进化算法.肺癌是一种肺癌.

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