How much bigan and cyclegan-learned hidden features are effective for covid-19 detection from ct images? a comparative study

HIGHLIGHTS

• who: Sima Sarv Ahrabi from the (UNIVERSITY) have published the Article: How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study, in the Journal: (JOURNAL)
• what: Motivated by this consideration in this paper the authors develop and numerically test the performance of a novel inference engine that relies on the exploitation of BiGAN and CycleGAN-learned hidden features for the detection of COVID-19 disease from other lung diseases in computer tomography (CT) scans. The authors develop a kernel density estimation (KDE)-based inference method . . .
  

   

  

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