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Updated: Jan 30, 2026

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
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轻量级CNN架构的临床验证,以使用组织病理成像技术可靠地对肺癌进行多类分类

Ali Raza1, Fareeha Hanif2, Heba Abdelgader Mohammed3

  • 1Department of Mathematics, University of the Punjab, Lahore, Pakistan. alirazaray71@gmail.com.

Scientific reports
|January 28, 2026
PubMed
概括

这项研究引入了轻量级卷积神经网络 (CNN) 模型,用于从组织病理学图像准确地分类肺癌. 莱特-V2 CNN变种表现出卓越的性能,提供高效可靠的早期诊断潜力.

关键词:
计算病理学计算病理学数字病理学数字病理学组织病理图像 组织病理图像轻量级的CNN 轻量级的CNN肺癌的分类 肺癌的分类模型优化模型优化多个类别的分类分类.

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