ResNet and VGG models achieve 95-98% average accuracy distinguishing COVID-19 from normal lung images on X-ray and CT datasets using transfer learning from pre-trained networks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
ResNet and VGG models achieve 95-98% average accuracy distinguishing COVID-19 from normal lung images on X-ray and CT datasets using transfer learning from pre-trained networks.