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Updated: May 17, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

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用合成图像增强来检测COVID-19和肺炎的YOLOv8框架

Uddin A Hasib1, Raihan Md Abu1, Jing Yang2

  • 1Department of Computer Science and Engineering, Khwaja Yunus Ali University, Sirajganj, Bangladesh.

Digital health
|May 16, 2025
PubMed
概括

本研究介绍了一个使用合成数据和深度学习来准确检测COVID-19和肺炎的框架. YOLOv8模型实现了97%的准确性,通过可解释的AI增强了诊断信心.

关键词:
发现COVID-19的检测方法这就是YOLOv8的意义.医疗图像分析分析肺炎的分类是肺炎的分类.合成图像增强技术 合成图像增强技术

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