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Learning Visual Context European Radiology Adenocarcinoma Artificial Intelligence lung cancer Diagnosis computer-assisted Thoracic radiography Pnemonia Mass screening Computer-assisted radiographic image interpretation Disease-free survival Emergency Department Deep-learning CT Radiology Acute Febrile Respiratory Illness deep learning tuberculosis Radiography Chest Radiographs

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  • AI 기반 흉부 엑스레이 분석,⋯
  • 인간보다 정확하고 빠르게 진⋯
  • Deep learning–based automa⋯
  • 홍승완 (Seungwan Hong)

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  • 서울대학교 의과대학 의료영상인공지능⋯
  • 서울대학교병원 영상의학과 연구교수,⋯
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아카이브

  • 2020/09
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Adenocarcinoma(2)

  • 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

1
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Department of Radiology
Seoul National University Hospital
101 Daehak-ro, Jongno-gu, Seoul,Korea

E-mail: cmpark.morphius@gmail.com
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