Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline.

Journal: European radiology experimental
Published Date: Nov 9, 2023

Abstract

BACKGROUND: Chest x-ray is commonly used for pulmonary abnormality screening. However, since the image characteristics of x-rays highly depend on the machine specifications, an artificial intelligence (AI) model developed for specific equipment usually fails when clinically applied to various machines. To overcome this problem, we propose an image manipulation pipeline.

Authors

  • Heejun Shin
    Artificial Intelligence Engineering Division, RadiSen Co., Ltd, Seoul, Korea.
  • Taehee Kim
    Artificial Intelligence Engineering Division, RadiSen Co., Ltd, Seoul, Korea.
  • Juhyung Park
    Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.
  • Hruthvik Raj
    Artificial Intelligence Engineering Division, RadiSen Co., Ltd, Seoul, Korea.
  • Muhammad Shahid Jabbar
    Artificial Intelligence Engineering Division, RadiSen Co., Ltd, Seoul, Korea.
  • Zeleke Desalegn Abebaw
    Artificial Intelligence Engineering Division, RadiSen Co., Ltd, Seoul, Korea.
  • Jongho Lee
    Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea. Electronic address: jonghoyi@snu.ac.kr.
  • Cong Cung Van
    Department of Radiology, National Lung Hospital, Hanoi, Vietnam.
  • Hyungjin Kim
    Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
  • Dongmyung Shin
    Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.

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