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Updated: Jun 5, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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诊断呼吸系统变性:卷积神经网络用于胸部X射线对各种肺部疾病进行分类

Rajesh Kancherla1, Anju Sharma1, Prabha Garg2

  • 1Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, S. A. S. Nagar, Punjab, 160062, India.

Journal of imaging informatics in medicine
|December 13, 2024
PubMed
概括

深度学习模型,特别是VGG19卷积神经网络 (CNN),通过胸部X射线精确检测肺部疾病. 这种人工智能方法增强了诊断能力,特别是在资源有限的医疗机构.

关键词:
在 COVID-19 疫情中,肺部疾病 肺部疾病肺的不透明性 肺的不透明性神经网络的神经网络的神经网络肺炎是一种肺炎.肺部胸部 肺部胸部

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