[HTML][HTML] Weak localization of radiographic manifestations in pulmonary tuberculosis from chest x-ray: A systematic review
Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one
of the infectious diseases with the highest global mortalities. Chest radiography is a …
of the infectious diseases with the highest global mortalities. Chest radiography is a …
[HTML][HTML] Interpretable machine learning techniques in ECG-based heart disease classification: a systematic review
Heart disease is one of the leading causes of mortality throughout the world. Among the
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …
Classification of cardiac disorders using weighted visibility graph features from ECG signals
G Kutluana, İ Türker - Biomedical Signal Processing and Control, 2024 - Elsevier
As universal expressions to describe complex systems, graphs are increasingly preferred as
a representation method in artificial intelligence. Visibility graphs enable converting time …
a representation method in artificial intelligence. Visibility graphs enable converting time …
A literature review: ecg-based models for arrhythmia diagnosis using artificial intelligence techniques
A Boulif, B Ananou, M Ouladsine… - … and Biology Insights, 2023 - journals.sagepub.com
In the health care and medical domain, it has been proven challenging to diagnose correctly
many diseases with complicated and interferential symptoms, including arrhythmia …
many diseases with complicated and interferential symptoms, including arrhythmia …
Towards federated transfer learning in electrocardiogram signal analysis
Modern methods in artificial intelligence perform very well on many healthcare datasets, at
times outperforming trained doctors. However, many assumptions made in model training …
times outperforming trained doctors. However, many assumptions made in model training …
MSW-Transformer: Multi-scale shifted windows transformer networks for 12-lead ECG classification
R Cheng, Z Zhuang, S Zhuang, L Xie, J Guo - arXiv preprint arXiv …, 2023 - arxiv.org
Automatic classification of electrocardiogram (ECG) signals plays a crucial role in the early
prevention and diagnosis of cardiovascular diseases. While ECG signals can be used for …
prevention and diagnosis of cardiovascular diseases. While ECG signals can be used for …
[HTML][HTML] Lightweight Model for Botnet Attack Detection in Software Defined Network-Orchestrated IoT
The Internet of things (IoT) is being used in a variety of industries, including agriculture, the
military, smart cities and smart grids, and personalized health care. It is also being used to …
military, smart cities and smart grids, and personalized health care. It is also being used to …
A study on denoising with deep convolutional neural networks in spatial heterodyne spectroscopy
W Luo, S Ye, Z Zhang, S Liu, W Xiong, X Wang… - Journal of Quantitative …, 2024 - Elsevier
Spatial heterodyne spectroscopy is a hyperspectral remote sensing technology. With the
continuous improvement of signal detection accuracy, new methods are urgently needed to …
continuous improvement of signal detection accuracy, new methods are urgently needed to …
[HTML][HTML] Multimodal ECG heartbeat classification method based on a convolutional neural network embedded with FCA
F Zhou, D Fang - Scientific Reports, 2024 - nature.com
Arrhythmias are irregular heartbeat rhythms caused by various conditions. Automated ECG
signal classification aids in diagnosing and predicting arrhythmias. Current studies mostly …
signal classification aids in diagnosing and predicting arrhythmias. Current studies mostly …
[HTML][HTML] Dual view deep learning for enhanced breast cancer screening using mammography
SR Kebede, FG Waldamichael, TG Debelee… - Scientific Reports, 2024 - nature.com
Breast cancer has the highest incidence rate among women in Ethiopia compared to other
types of cancer. Unfortunately, many cases are detected at a stage where a cure is delayed …
types of cancer. Unfortunately, many cases are detected at a stage where a cure is delayed …