A multi-center clinical trial for wireless stethoscope-based diagnosis and prognosis of children community-acquired pneumonia

D Huang, L Wang, W Wang - IEEE Transactions on Biomedical …, 2023 - ieeexplore.ieee.org
Community-Acquired Pneumonia (CAP) is a significant cause of child mortality globally, due
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …

New Deep Learning Models for Medical Imaging: Deep Belief Network, GAN, Autoencoder

R Gupta, SK Shukla, V Tripathi - 2023 4th International …, 2023 - ieeexplore.ieee.org
Deep learning (DL) is being utilized in different clinical imaging process and has
accomplished promising results. Nonetheless, incorporating DL in clinical imaging also …

Variational autoencoders for anomaly detection in respiratory sounds

M Cozzatti, F Simonetta, S Ntalampiras - International Conference on …, 2022 - Springer
This paper proposes a weakly-supervised machine learning-based approach aiming at a
tool to alert patients about possible respiratory diseases. Various types of pathologies may …

Audio-based deep learning frameworks for detecting covid-19

D Ngo, L Pham, T Hoang, Ş Kolozali… - 2022 30th European …, 2022 - ieeexplore.ieee.org
This paper evaluates a wide range of audio-based deep learning frameworks applied to the
breathing, cough, and speech sounds for detecting COVID-19. In general, the audio …

An inception-residual-based architecture with multi-objective loss for detecting respiratory anomalies

D Ngo, L Pham, H Phan, M Tran… - 2023 IEEE 25th …, 2023 - ieeexplore.ieee.org
This paper presents a deep learning system applied for detecting anomalies from respiratory
sound recordings. Initially, our system begins with audio feature extraction using …