Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation

no code implementations • 9 Aug 2022 • Yujia Xu, Hak-Keung Lam, Guangyu Jia, Jian Jiang, Junkai Liao, Xinqi Bao

And the achieved precision, sensitivity, and specificity for the COVID-19 pneumonia category are 98. 40%, 99. 59%, and 99. 50%, respectively.

Contrastive Learning COVID-19 Diagnosis +1

Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks

no code implementations • 5 Aug 2022 • Xinqi Bao, Yujia Xu, Hak-Keung Lam, Mohamed Trabelsi, Ines Chihi, Lilia Sidhom, Ernest N. Kamavuako

The findings of this study provided the knowledge for selecting TFDs as CNN input and designing CNN architecture for heart sound classification.

Classification Sound Classification