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August 30, 2024International Journal of experimental research and reviewOpen Access

A Novel Computer-Aided Approach for Predicting COVID-19 Severity Using Hyperparameters in ResNet50v2 from X-ray Images

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Authors

RDRahul DevaADArvind Dagur

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Cite This Study

Deva et al. (2024) studied this question.

synapsesocial.com/papers/68e5a2cab6db64358753d67bhttps://doi.org/10.52756/ijerr.2024.v42.011
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1DeepX-Ray: A Comparative Study of Deep Learning-Based Classification and Segmentation Techniques for Automated Detection and Diagnosis of COVID-19 from Chest X-ray Images2024
  2. 2Deep Learning-Based Prediction of COVID-19 and Viral Pneumonia from Chest X-Ray Images2024
  3. 3DRESCNN: Deep RESNET Convolutional Neural Network Based Classification of X-Ray Images for Detection of COVID-192024
  4. 4Deep Learning Model for COVID-19 Classification Using Fine Tuned ResNet50 on Chest X-Ray Images2024 · 3 citations
  5. 5A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection2024 · 2 citations