[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
Visual detection of COVID-19 from materials aspect
In the recent COVID-19 pandemic, World Health Organization emphasized that early
detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several …
detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several …
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
Kidney cancer diagnosis and surgery selection by machine learning from CT scans combined with clinical metadata
Simple Summary Diagnosis is the most important step in treating and managing kidney
cancer, requiring accurate identification, localization, and classification of tumor regions. The …
cancer, requiring accurate identification, localization, and classification of tumor regions. The …
Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds
The polymerase chain reaction (PCR) test is not only time-intensive but also a contact
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …
Covid-19 detection from respiratory sounds with hierarchical spectrogram transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves
respiratory assessments. While auscultation is a mainstream method for preliminary …
respiratory assessments. While auscultation is a mainstream method for preliminary …
[HTML][HTML] A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients' cough and breathing sounds
M Aly, NS Alotaibi - Informatics in Medicine Unlocked, 2022 - Elsevier
The goal of this paper is to classify the various cough and breath sounds of COVID-19
artefacts in the signals from dynamic real-life environments. The main reason for choosing …
artefacts in the signals from dynamic real-life environments. The main reason for choosing …
Perovskite-based optoelectronic systems for neuromorphic computing
Brain-like neuromorphic computing system offers the ability to be used in neural networks on
demand and are rapidly gaining interest by researchers due to their outstanding …
demand and are rapidly gaining interest by researchers due to their outstanding …
A forced cough sound based pulmonary function assessment method by using machine learning
W Xu, G He, C Pan, D Shen, N Zhang, P Jiang… - Frontiers in Public …, 2022 - frontiersin.org
Pulmonary function testing (PFT) has important clinical value for the early detection of lung
diseases, assessment of the disease severity, causes identification of dyspnea, and …
diseases, assessment of the disease severity, causes identification of dyspnea, and …
Automated COVID-19 and heart failure detection using DNA pattern technique with cough sounds
COVID-19 and heart failure (HF) are common disorders and although they share some
similar symptoms, they require different treatments. Accurate diagnosis of these disorders is …
similar symptoms, they require different treatments. Accurate diagnosis of these disorders is …