Adenocarcinoma(2)
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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
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안윤진(Ahn Yun Jin)
1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail : unjin321@gmail.com
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김수현(Kim Su Hyeon)
1.present title :Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: selon0530@gmail.com
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양소희(Yang So hee)
1. present title : Clinical Research Coordinator ,Department of Radiology, Seoul National University Hospital 2.E-mail: soheeyang0520@gmail.com
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강동산(Kang Dong San)
1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: qwepoi9107@gmail.com