[HTML][HTML] Acoustic-based deep learning architectures for lung disease diagnosis: A comprehensive overview

AH Sfayyih, AH Sabry, SM Jameel, N Sulaiman… - Diagnostics, 2023 - mdpi.com
Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …

[HTML][HTML] A review on lung disease recognition by acoustic signal analysis with deep learning networks

AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classification

S Bae, JW Kim, WY Cho, H Baek, S Son, B Lee… - arXiv preprint arXiv …, 2023 - arxiv.org
Respiratory sound contains crucial information for the early diagnosis of fatal lung diseases.
Since the COVID-19 pandemic, there has been a growing interest in contact-free medical …

[HTML][HTML] Cochleogram-based adventitious sounds classification using convolutional neural networks

LD Mang, FJ Cañadas-Quesada… - … Signal Processing and …, 2023 - Elsevier
Abstract Background: The World Health Organization (WHO) establishes as a top priority the
early detection of respiratory diseases. This detection could be performed by means of …

Pretraining respiratory sound representations using metadata and contrastive learning

I Moummad, N Farrugia - … of Signal Processing to Audio and …, 2023 - ieeexplore.ieee.org
Methods based on supervised learning using annotations in an end-to-end fashion have
been the state-of-the-art for classification problems. However, they may be limited in their …

[HTML][HTML] Lung disease recognition methods using audio-based analysis with machine learning

AH Sabry, OID Bashi, NHN Ali, YM Al Kubaisi - Heliyon, 2024 - cell.com
The use of computer-based automated approaches and improvements in lung sound
recording techniques have made lung sound-based diagnostics even better and devoid of …

Convolution-vision transformer for automatic lung sound classification

J Neto, N Arrais, T Vinuto… - 2022 35th SIBGRAPI …, 2022 - ieeexplore.ieee.org
Auscultation is an essential part of clinical examination since it is an inexpensive,
noninvasive, safe, and one of the oldest diagnostic techniques used to diagnose various …

Auscultation-Based Pulmonary Disease Detection through Parallel Transformation and Deep Learning

R Khan, SU Khan, U Saeed, IS Koo - Bioengineering, 2024 - mdpi.com
Respiratory diseases are among the leading causes of death, with many individuals in a
population frequently affected by various types of pulmonary disorders. Early diagnosis and …

[PDF][PDF] A benchmarking study of deep learning techniques applied for breath analysis.

V Dentamaro, P Giglio, D Impedovo, LA Moretti, G Pirlo… - DSTNDS, 2023 - researchgate.net
Abstract In Machine Learning, new architectures are continually proposed, making difficult to
evaluate which configurations better fit specific fields and tasks. The most reliable way to …

[PDF][PDF] Learning audio features with metadata and contrastive learning

I Moummad, N Farrugia - arXiv preprint arXiv:2210.16192, 2022 - researchgate.net
Methods based on supervised learning using annotations in an end-to-end fashion have
been the state-of-the-art for classification problems. However, they may be limited in their …