Interpretable deep learning-based hippocampal sclerosis classification.

Journal: Epilepsia open
PMID: 36177546

Abstract

OBJECTIVE: To evaluate the performance of a deep learning model for hippocampal sclerosis classification on the clinical dataset and suggest plausible visual interpretation for the model prediction.

Authors

  • Dohyun Kim
    Convergence Research Center for Diagnosis, Treatment, and Care of Dementia, Korea Institute of Science and Technology, Seoul, South Korea.
  • Jungtae Lee
    Application Engineering Team, Memory Business, Samsung Electronics Co., Ltd., Suwon, South Korea.
  • Jangsup Moon
    Department of Neurology, Seoul National University Hospital, Seoul, South Korea.
  • Taesup Moon
    Department of Information and Communication Engineering, Daegu-Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea. tsmoon@dgist.ac.kr.

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