Classification of lung sounds using convolutional neural networks

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Aykanat M., Kilic O., Kurt B., Saryal S.

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2017 (SCI-Expanded) identifier identifier


In the field of medicine, with the introduction of computer systems that can collect and analyze massive amounts of data, many non-invasive diagnostic methods are being developed for a variety of conditions. In this study, our aim is to develop a non-invasive method of classifying respiratory sounds that are recorded by an electronic stethoscope and the audio recording software that uses various machine learning algorithms.