An Optimal Model Combining SqueezeNet and Machine Learning Methods for Lung Disease Diagnosis
Description
CONCLUSION: The model demonstrated good classification accuracy. In addition, the proposed model has the ability to use fewer parameters, which means it requires less internal memory and computing resources. .
