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Jun, 2024
通过显式伪像增强提高全尺寸图像质量控制
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
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Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori...
TL;DR
本研究提出了一种方法,通过外部库生成和混合艺术品,从而增强给定的组织病理学数据集,以训练艺术品分类方法,从而解决了整个幻灯片图像获取中的伪影问题。
Abstract
The problem of
artifacts
in
whole slide image acquisition
, prevalent in both clinical workflows and research-oriented settings, necessitates human intervention and re-scanning. Overcoming this challenge requires
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