A holistic approach to identify and classify covid-19 from chest radiographs, ecg, and ct-scan images using shufflenet convolutional neural network

HIGHLIGHTS

• who: Naeem Ullah and collaborators from the Department of Software Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan have published the Article: A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network, in the Journal: Diagnostics 2023, 13, x FOR PEER REVIEW of 29/Nov/2022
• what: To address the above-mentioned limitations of existing approaches in this area, the authors propose an effective single DL-based framework for chest radiograph, CT scan, and ECG trace images to identify COVID-19 positive . . .
  

   

  

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