A two-step learning model for the diagnosis of coronavirus disease-19 based on chest x-ray images with 3d rotational augmentation

HIGHLIGHTS

• who: Hyuk-Ju Kwon and Sung-Hak Lee from the School of Electronic and Electrical Engineering, Kyungpook National University, Deahakro, Buk-Gu have published the paper: A Two-Step Learning Model for the Diagnosis of Coronavirus Disease-19 Based on Chest X-ray Images with 3D Rotational Augmentation, in the Journal: (JOURNAL)
• what: The authors propose a method for effectively classifying normal coronavirus disease-19 (COVID-19) lung opacity and viral pneumonia symptoms using chest X-ray images. The proposed model aims to detect the position of the lungs using minimal training data from the . . .
  

   

  

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