Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma
Dong Xie(Shanghai University of Traditional Chinese Medicine), Chang Chen(The First People's Hospital of Shunde), Yang Yang(University of California, San Francisco), Fei Ke(Chinese Academy of Sciences), Jiajun Deng(Tongji University), Tingting Wang(Tongji University), Lei Zhang(Shanghai Pulmonary Hospital), Xiwen Sun(Tongji University), Junqi Wu(Shanghai Pulmonary Hospital), Yijiu Ren(Tongji University), Yunlang She(Tongji University), Shu-Jung Huang(University of Manitoba)
Cited by 48
Related Papers
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
|Radiology|2020|2.9k
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
|Radiology|2020|2.8k
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
|Nature Medicine|2020|1.1k
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
|Frontiers in Neuroscience|2018|317
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning
|Radiology Artificial Intelligence|2022|294