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3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images.

Yilv Lv,Ying Wei,Kuan Xu,Xiaobin Zhang,Rong Hua, Jia Huang,Min Li,Cui Tang,Long Yang,Bingchun Liu,Yonggang Yuan,Siwen Li,Yaozong Gao,Xianjie Zhang,Yifan Wu,Yuchen Han,Zhanxian Shang,Hong Yu,Yiqiang Zhan,Feng Shi,Bo Ye

Frontiers in oncology（2022）

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Abstract
We developed a deep learning model that achieved comparable performance to intraoperative frozen section analysis in determining tumor invasiveness. The proposed method may contribute to clinical decisions related to the extent of surgical resection.
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Key words
artificial intelligence,computer-aided diagnosis,intraoperative frozen section,lung adenocarcinoma,non-small cell lung (NSCLC),tumor invasiveness
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