COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models-Reference-Cited by-同舟云学术

COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models

Published:2021-12 Issue: Volume:139 Page:105020
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Loey Mohamed^ORCID,Mirjalili Seyedali

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference49 articles.

1. Within the lack of chest COVID-19 X-ray dataset: a novel detection model based on GAN and deep transfer learning;Loey;Symmetry,2020

2. A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-Ray Dataset;Khalifa,2021

3. A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic;Loey;Measurement,2021

4. Fighting against COVID-19: a novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection;Loey;Sustainable Cities and Society,2021

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep convolutional neural network approach using medical image classification;BMC Medical Informatics and Decision Making;2024-08-29

2. SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification;Algorithms;2024-07-08

3. Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues;Electronics;2024-07-04

4. SUPER-COUGH: A Super Learner-based ensemble machine learning method for detecting disease on cough acoustic signals;Biomedical Signal Processing and Control;2024-07

5. Rainfall Observation Leveraging Raindrop Sounds Acquired Using Waterproof Enclosure: Exploring Optimal Length of Sounds for Frequency Analysis;Sensors;2024-07-01