International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Transfer Learning Approaches for Lung Sound Detection

Author(s) Dwiti Pandya, Jemisha Patel, Rikita Gohil, Pratik Kahar
Country India
Abstract lung disease is now the biggest cause of death in the whole world. For the most part, lung disease is found in its last stages after it has already progressed to a serious state. One on either hand, early detection of lung disease may aid in therapy. In today's society, technological advancements are critical to the delivery of healthcare services. To record the sounds emitted by the patients' lungs, we use electronic stethoscopes. The sounds made by the lungs give useful information for lung diagnosis. Study in the medical profession is now concentrating on the significance of diagnosing lung disease using lung acoustics, which is a current research topic. Transfer learning is critical for success in the medical system. In this study, we provide a range of transfer learning algorithms for lung sound classification, including ALEXNET, MOBILENET, VGGNET, and RESNET, among others. For the new data set, the WAVGAN model will be used to produce a new data set, which will be used to perform recognition of respiratory system noises with in Transfer learning model. With their high accuracy in classifying lung sounds, our transfer learning models might one day be used to diagnose lung disorders. Transfer learning strategies and their advantages and disadvantages will be discussed in this article. There are other dangers to consider. As a means of distinguishing between the four distinct lung sounds, in addition, it recommends future directions for research into lung sound identification.
Keywords AlexNet,Vggnet, Resnet, Random Forest, Naive Bayes, Support Vector Machine, Convolutional neural network, Wavegan, and Artificial neural network.
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-04
Cite This Transfer Learning Approaches for Lung Sound Detection - Dwiti Pandya, Jemisha Patel, Rikita Gohil, Pratik Kahar - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32333
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32333
Short DOI https://doi.org/g8tv8g

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