Discrimination of ground-glass nodular lung adenocarcinoma pathological subtypes via transfer learning: A multicenter study.

Chun-Long Fu,Ze-Bin Yang, Ping Li,Kang-Fei Shan,Mei-Kang Wu, Jie-Ping Xu, Chi-Jun Ma,Fang-Hong Luo,Long Zhou,Ji-Hong Sun,Fen-Hua Zhao

Cancer medicine（2023）

引用 1|浏览10

暂无评分

摘要

Our 3D deep transfer learning model provides a noninvasive, low-cost, rapid, and reproducible method for preoperative prediction of IAC and MIA in lung cancer patients with GGNs. It can help clinicians to choose the optimal surgical strategy and improve the prognosis of patients.

查看译文

关键词

adenocarcinoma, deep learning, lung, prognosis, X-ray computed tomography

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要