Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma.

Jiajing Sun,Li Zhang,Bingyu Hu,Zhicheng Du,William C Cho,Pasan Witharana, Hua Sun,Dehua Ma,Minhua Ye,Jiajun Chen, Xiaozhuang Wang,Jiancheng Yang,Chengchu Zhu,Jianfei Shen

Lung cancer (Amsterdam, Netherlands)（2023）

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摘要

The 3D measurement of solid components using AI, is an effective and objective approach to predict the pathological invasiveness of SSNs. It can be a preoperative interpretable indicator of pathological invasiveness in patients with lung adenocarcinoma.

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关键词

interpretable prediction,tumor invasiveness,deep,lung,learning-based

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