Preopertative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas

Radiology 2020 [Online ahead of print] Kim et al. Full text https://pubs.rsna.org/doi/10.1148/radiol.2020192764

2020.05.17

CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists

Eur Radiol. 2020 Feb 13. doi: 10.1007/s00330-019-06628-4. [Epub ahead of print] Kim et al. Full text http://lps3.link.springer.com.libproxy.snu.ac.kr/article/10.1007%2Fs00330-019-06628-4

2020.03.24

안윤진(Ahn Yun Jin)

1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail : unjin321@gmail.com

김수현(Kim Su Hyeon)

1.present title :Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: selon0530@gmail.com

양소희(Yang So hee)

1. present title : Clinical Research Coordinator ,Department of Radiology, Seoul National University Hospital 2.E-mail: soheeyang0520@gmail.com

강동산(Kang Dong San)

1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: qwepoi9107@gmail.com