Detection and classification of venous thromboembolism through image test reports analysis using active learning and deep learning

• Eunseon Jeong,

  Roles Conceptualization, Data curation, Investigation, Methodology, Resources, Writing – original draft

  Affiliation Department of Surgery, Division of Vascular and Transplant Surgery, Seoul St. Mary’s Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea

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• Youngje Woo,

  Roles Validation, Writing – review & editing

  Affiliation Department of Surgery, Division of Vascular and Transplant Surgery, Seoul St. Mary’s Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea

  https://orcid.org/0000-0001-5691-1813

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• Hong Joo Lee ,

  Contributed equally to this work with: Hong Joo Lee, Jang Yong Kim

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Software, Supervision, Validation, Visualization, Writing – review & editing

  * E-mail: fastbat@gmail.com (HJL); vascularkim@catholic.ac.kr (JYK)

  Affiliation Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, Gyounggi-do, Republic of Korea

  https://orcid.org/0000-0002-3499-0466

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• Jang Yong Kim

  Contributed equally to this work with: Hong Joo Lee, Jang Yong Kim

  Roles Conceptualization, Project administration, Supervision, Validation, Writing – review & editing

  * E-mail: fastbat@gmail.com (HJL); vascularkim@catholic.ac.kr (JYK)

  Affiliation Department of Surgery, Division of Vascular and Transplant Surgery, Seoul St. Mary’s Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea

  https://orcid.org/0000-0001-8437-9254

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