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Updated: Jan 28, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
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细分引导的混合深度学习用于从多队列CT图像检测肺结节和风险预测

Gomavarapu Krishna Subramanyam1,2, Kundojjala Srinivas1, Veera Venkata Raghunath Indugu3

  • 1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad 500075, Telangana, India.

Diseases (Basel, Switzerland)
|January 27, 2026
PubMed
概括

这项研究介绍了Seg-CADe-CADx,这是一种用于肺癌查的深度学习框架. 它通过使用低剂量计算机断层扫描 (LDCT) 改进了肺结节检测和恶性瘤风险评估.

关键词:
在DenseNet中,使用的是DenseNet.最少发达国家和地区.斯温变压器 变压器肺癌是一种肺癌.恶性瘤的分类 恶性瘤的分类肺结节检测 肺结节检测

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