Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques

Table 3

Comparison of studies on COVID-19 classification.

Author	Image	Accuracy	Classification
Wang [11]	CT	82.9%	Transfer learning
Zhao [12]	CT	85%	DenseNet
Vruddhi Shah [13]	CT	94.52%	VGG-19
He X [14]	CT	94%	Self-trans model
Michael J. Horry [15]	CT	84%	Fine-tuned VGG-19
Song Ying [16]	CT	93%	Deep CNN