Detection of covid-19 in x-ray images using densely connected squeeze convolutional neural network (dcscnn): focusing on interpretability and explainability of the black box model

HIGHLIGHTS

• who: Sikandar Ali and collaborators from the Department of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea have published the research work: Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of 11/02/2020
• what: The aim of this study was to stratify the Corona-virus patients while using chest X-ray images. When the model was tested with internal validation, it showed an accuracy . . .
  

   

  

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