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单个鼓舞人心的胸部基于CT的生成深度学习模型来评估功能性小气管疾病.

Di Zhang1, Mingyue Zhao2,3, Xiuxiu Zhou1

  • 1Department of Radiology, Changzheng Hospital, Naval Medical University, 415 Fengyang Rd, Shanghai 200003, The People's Republic of China.

Radiology. Artificial intelligence
|July 16, 2025
PubMed
概括

一个新的深度学习模型可以使用单个CT扫描准确预测小气道疾病,匹配传统方法的性能. 这一进步有助于诊断COPD等肺部疾病.

关键词:
这就是为什么CTCTCTCTCT慢性阻塞性肺病 慢性阻塞性肺病深度学习 (Deep Learning) 是一种深度学习.诊断 诊断 诊断 诊断 诊断肺 肺 肺 肺 肺 肺 肺参数响应映射对参数响应进行映射.重建算法重建的算法小型航空公司 (Small Airways)在X射线计算机断层扫描上.

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