Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging.

Journal: Frontiers in immunology
PMID: 35774780

Abstract

BACKGROUND: Differential diagnosis of demyelinating diseases of the central nervous system is a challenging task that is prone to errors and inconsistent reading, requiring expertise and additional examination approaches. Advancements in deep-learning-based image interpretations allow for prompt and automated analyses of conventional magnetic resonance imaging (MRI), which can be utilized in classifying multi-sequence MRI, and thus may help in subsequent treatment referral.

Authors

  • Chuxin Huang
    Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Weidao Chen
    Beijing Infervision Technology Co. Ltd., Beijing, China.
  • Baiyun Liu
    Infervision, Beijing, China.
  • Ruize Yu
    Infervision Medical Technology Co., Ltd., Ocean International Center, Beijing, China.
  • Xiqian Chen
    Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Fei Tang
    Division of Biostatistics, University of Miami.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.
  • Wei Lu
    Department of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, China.

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