Fully automated segmentation and classification of renal tumors on CT scans via machine learning.

Journal: BMC cancer
PMID:

Abstract

BACKGROUND: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.

Authors

  • Jang Hee Han
    Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Byung Woo Kim
    From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.).
  • 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.).
  • Ji Yeon Ko
    Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Seung Jae Choi
    Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Minho Kang
    Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
  • Sang Youn Kim
    Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
  • Jeong Yeon Cho
    Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Ja Hyeon Ku
    Department of Urology, Seoul National University Hospital, Seoul, Korea.
  • Cheol Kwak
    Department of Urology, Seoul National University, Seoul, 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.
  • Chang Wook Jeong
    Department of Urology, Seoul National University Hospital, Seoul, Korea.