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 …
health and has gotten a lot of attention in recent years, notably following the coronavirus …
Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds
In recent years deep learning models improve the diagnosis performance of many diseases
especially respiratory diseases. This paper will propose an evaluation for the performance of …
especially respiratory diseases. This paper will propose an evaluation for the performance of …
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 …
viable thanks in considerable portion to technologies like deep learning and machine …
Respiratory sound-base disease classification and characterization with deep/machine learning techniques
O Karaarslan, KD Belcastro, O Ergen - Biomedical Signal Processing and …, 2024 - Elsevier
Respiratory diseases (RDs) are a leading cause of death globally, with over 490,000 deaths
in the EU and the US alone in 2017. Early detection of these diseases is crucial for …
in the EU and the US alone in 2017. Early detection of these diseases is crucial for …
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds
NS Alghamdi, M Zakariah, H Karamti - Multimedia Tools and Applications, 2024 - Springer
Abstract Machine learning algorithms have recently been increasingly used in medical data,
particularly in healthcare areas where image processing techniques have played a crucial …
particularly in healthcare areas where image processing techniques have played a crucial …
ALSD-Net: Automatic lung sounds diagnosis network from pulmonary signals
Chronic respiratory diseases (CRDs) are common across the world. In many countries, there
is a shortage of medical professionals and hence there is a need to develop artificial …
is a shortage of medical professionals and hence there is a need to develop artificial …
Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function
Respiratory diseases constitute one of the leading causes of death worldwide and directly
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
[HTML][HTML] Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning
Auscultation has been essential part of the physical examination; this is non-invasive, real-
time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is …
time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is …
Lung sound classification with multi-feature integration utilizing lightweight cnn model
Detecting respiratory diseases is of utmost importance, considering that respiratory ailments
represent one of the most prevalent categories of diseases globally. The initial stage of lung …
represent one of the most prevalent categories of diseases globally. The initial stage of lung …