淋巴血管侵犯
医学
肺癌
卷积神经网络
放射科
癌症
病理
内科学
计算机科学
人工智能
转移
作者
Jian Wang,Yang Yang,Yang Yang,Hengfeng Shi,Yang Yang,Zhongfeng Niu,Yang Yang,Hengfeng Shi,Yang Yang,Hengfeng Shi,Hengfeng Shi
标识
DOI:10.1016/j.acra.2024.05.010
摘要
Lymphovascular invasion (LVI) plays a significant role in precise treatments of non-small cell lung cancer (NSCLC). This study aims to build a non-invasive LVI prediction diagnosis model by combining preoperative CT images with deep learning technology.
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