用深度学习三级分类模型预测肺腺癌在胸部CT中的侵入性

Zhengsong Pan¹, Ge Hu¹, Zhenchen Zhu¹+7

• ¹From the Department of Radiology (Z.P., Z. Zhu, W.S., L.S., Z.J.), Medical Research Center (G.H.), State Key Laboratory of Complex Severe and Rare Disease (G.H.), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing 100730, China; 4 + 4 Medical Doctor Program (Z.P., Z. Zhu), Department of Epidemiology and Health Statistics (W.H.), Institute of Basic Medicine Sciences (W.H.), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Deepwise AI Laboratory, Beijing Deepwise & League of PhD Technology, Beijing, China (W.T., Z. Zhou, Y.Y.); and Department of Computer Science, The University of Hong Kong, Hong Kong, China (Y.Y.).