Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.

Abstract

Authors

• Taek Min Kim
  From the Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (E.J.H., J.G.N., W.H.L., S.J.P., Y.S.J., J.H.K., E.K.H., T.M.K., J.M.G., C.M.P.); and Lunit, Seoul, Korea (S.P., K.H.K.).
• Seung Jae Choi
  Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea.
• Ji Yeon Ko
  Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
• Sungwan Kim
  Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
• Chang Wook Jeong
  Department of Urology, Seoul National University Hospital, Seoul, Korea.
• Jeong Yeon Cho
  Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
• Sang Youn Kim
  Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
• Young-Gon Kim
  Department of Biomedical Engineering, Asan Institute of Life Science, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, South Korea.

Keywords

External Resources