Classification of lung sounds using convolutional neural networks
Abstract 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 respirato...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2017-09-01
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Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13640-017-0213-2 |