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Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.

Arun Kumar DubeyGian Luca ChabertAlessandro CarrieroAlessio PaschePietro S C DannaSushant AgarwalLopamudra Mohanty NillmaniNeeraj SharmaSarita YadavAchin JainAshish KumarMannudeep K KalraDavid W SobelJohn R LairdInder M SinghNarpinder SinghGeorgios TsoulfasMostafa M FaudaAzra AlizadGeorge D KitasNarendra N KhannaKlaudija ViškovićMelita KukuljanMustafa Al-MainiAyman S El-BazLuca SabaJasjit S Suri
Published in: Diagnostics (Basel, Switzerland) (2023)
EDL showed superior performance to TL systems for both (a) unbalanced and unaugmented and (b) balanced and augmented datasets for both (i) seen and (ii) unseen paradigms, validating both our hypotheses.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • sars cov
  • big data
  • electronic health record
  • data analysis
  • rna seq
  • virtual reality