机构:[1]Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.[2]Department of Computed Tomography and Magnetic Resonance, The Fourth Hospital of Hebei Medical University, Shijiazhuang, He Bei, China.医技科室CT磁共振科河北医科大学第四医院[3]Beijing Deepwise & League of PhD Technology Co. Ltd, Beijing, China.[4]Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China. Electronic address: dr_jianweiwang@163.com.
This work was supported by the National Natural Science
Foundation of China (grant 81971616), Beijing Natural
Science Foundation (grant 7222148), the Special Research
Fund for Central Universities, Peking Union Medical
College (grant 3332022025), and the CAMS Innovation
Fund for Medical Sciences (CIFMS) (grant 2021-I2M-C&
T-B-065)
第一作者机构:[1]Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
Liu Jianing,Qi Linlin,Xu Qian,et al.A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules[J].Academic Radiology.2024,31(11):4687-4695.doi:10.1016/j.acra.2024.05.002.
APA:
Liu Jianing,Qi Linlin,Xu Qian,Chen Jiaqi,Cui Shulei...&Wang Jianwei.(2024).A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules.Academic Radiology,31,(11)
MLA:
Liu Jianing,et al."A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules".Academic Radiology 31..11(2024):4687-4695