Adding MixMatch, Co-Refinement, and Co-Refurbishing to an MFCC+CNN classifier is reported to improve lung sound classification accuracy from 89.1% to 92.9% on the ICHBI respiratory sound dataset.
Unsupervised clustering using pseudo -semi-supervised learning
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Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning
Adding MixMatch, Co-Refinement, and Co-Refurbishing to an MFCC+CNN classifier is reported to improve lung sound classification accuracy from 89.1% to 92.9% on the ICHBI respiratory sound dataset.