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Updated: Jan 29, 2026

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开发和验证基于LDCT的深度学习放射学诺米克图,用于预测一期肺腺癌的术后复发

Haimei Lan1, Chaosheng Wei1, Yiming Luo2

  • 1Department of Radiology, Liuzhou Workers' Hospital, Guangxi, China.

Frontiers in oncology
|January 28, 2026
PubMed
概括

使用低剂量计算机断层扫描 (LDCT) 扫描的深度学习放射性名图 (DLRN) 准确地预测了手术后一期肺腺癌 (LUAD) 患者的复发. 这种工具有助于临床医生为个性化患者管理量身定制辅助治疗.

关键词:
在ResNet50中使用ResNet50深度学习放射学名ogram 图表低剂量计算机断层扫描.肺部腺癌的癌症预测模型是一个预测模型.

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