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Found 3 papers, 2 papers with code
LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram
We propose a deep learning architecture, LungAttn, which incorporates augmented attention convolution into ResNet block to improve the classification accuracy of lung sound.
Ranked #13 on
Audio Classification
on ICBHI Respiratory Sound Database
LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation
An adventitious lung sound classification model, LungRN+NL, is proposed in this work, which has demonstrated a drastic improvement compared to our previous work and the state-of-the-art models.
Ranked #14 on
Audio Classification
on ICBHI Respiratory Sound Database
LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm
Improving access to health care services for the medically under-served population is vital to ensure that critical illness can be addressed immediately.
Ranked #15 on
Audio Classification
on ICBHI Respiratory Sound Database
