COVID-19 Chest X-ray Image Classification: A Comparative Research of LBP-SVM and MobileNetV2
Because the application of data augmentation and regularization techniques, the training and validation loss curves of MobileNetV2 con-verged effectively, which in turn suppressed the issue of overfitting, confirming the superiority of MobileNetV2 in end-to-end feature extraction for COVID-19 imaging.