
A novel multi-task learning approach is proposed to simultaneously classify lung sounds and lung diseases using deep learning models like 2D CNN, ResNet50, MobileNet, and DenseNet. The MobileNet model achieved the highest accuracy of 74% for lung sound classification and 91% for lung disease classification.


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simultaneous-classification-of-lung-sounds-and-lung-diseases-using-multi-task-learning


Simultaneous Classification of Lung Sounds and Lung Diseases using Multi-Task Learning
