Development and validation of a deep learning-based automatic classification algorithm for the medial temporal lobe atrophy score using a multimodality cascade transformer.

Abstract

Authors

• S J Lee
  Department of Restorative Dentistry and Biomaterials Sciences, Harvard School of Dental Medicine, Boston, MA, USA.
• D Lee
  Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, Seongnam-si, Korea.
• C H Suh
  From the Department of Radiology and Research Institute of Radiology (C.H.S., W.H.S., S.J.K.).
• S Y Jeong
  Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
• H M Shin
  VUNO Inc., Seoul, Republic of Korea.
• W Jung
  VUNO Inc (S.P., W.J., J.S.), Seoul, Republic of Korea.
• J Kim
  Division of Colon and Rectal Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
• J-S Lim
  Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
• H S Kim
  Department of Pharmacology, Pharmacogenomic Research Center for Membrane Transporters, Brain Korea 21 PLUS Project for Medical Sciences; Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul.
• S J Kim
  From the Department of Radiology and Research Institute of Radiology (C.H.S., W.H.S., S.J.K.) sjkimjb5@gmail.com.
• J-H Lee
  Department of Neurology (J.H.R., J.-H.L.).

Keywords

External Resources