Facilitating standardized covid-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting

HIGHLIGHTS

• who: Yeshaswini Nagaraj from the using multi-demographic datasets in the three machine learning models, we considered two scenarios for model evaluationIn the first scenario, we trained the classification models on a mixed dataset ( Russia have published the Article: Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting, in the Journal: (JOURNAL)
• what: The authors used a proprietary deep learning-based noise reduction (DLNR) algorithm (Pixelshine, AlgoMedica) which has been shown to effectively reduce image noise of an already reconstructed DICOM image and can improve the image_quality . The . . .
  

   

  

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