Covid-19 infection segmentation and severity assessment using a self-supervised learning approach

HIGHLIGHTS

• who: Yao Song and collaborators from the School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China have published the paper: COVID-19 Infection Segmentation and Severity Assessment Using a Self-Supervised Learning Approach, in the Journal: Diagnostics 2022, 12, x FOR PEER REVIEW of 29/06/2022
• what: Methods: To address these challenges the authors propose a novel self-supervised deep learning method for automated segmentation of COVID-19 infection lesions and assessing the severity of infection which can reduce the dependence on the annotation of the training samples. By . . .
  

   

  

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