Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure

Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure

The recognition of various lung sounds recorded using electronic stethoscopes plays a significant role in the early diagnoses of respiratory diseases. To increase the accuracy of specialist evaluations, machine learning techniques have been intensely employed during the past 30 years. In the current...

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Bibliographic Details
Main Authors: Fatih Demir, Aras Masood Ismael, Abdulkadir Sengur
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Lung sound
CNN model
parallel pooling
deep features
RSE method
Online Access:https://ieeexplore.ieee.org/document/9108294/

Internet

https://ieeexplore.ieee.org/document/9108294/

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