Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
An analysis of deep transfer learning-based approaches for prediction and prognosis of multiple respiratory diseases using pulmonary images
Respiratory diseases can lead to lung failure, which happens when the lungs cannot give
the body enough oxygen. These diseases can be diagnosed using medical data, lung …
the body enough oxygen. These diseases can be diagnosed using medical data, lung …
[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …
experiences of individuals across the planet. It is a highly contagious respiratory disease …
Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes
One of the primary challenges in applying deep learning approaches to medical imaging is
the limited availability of data due to various factors. These factors include concerns about …
the limited availability of data due to various factors. These factors include concerns about …
[HTML][HTML] Fusion of edge detection and graph neural networks to classifying electrocardiogram signals
The analysis of electrocardiogram (ECG) signals are among the key factors in the diagnosis
of cardiovascular diseases (CVDs). However, automatic processing of ECG in clinical …
of cardiovascular diseases (CVDs). However, automatic processing of ECG in clinical …
Detection of bruises on red apples using deep learning models
The detection and sorting of bruised apples after harvest play a crucial role in improving
their economic value by eliminating surface defects. This also reduces the risk of …
their economic value by eliminating surface defects. This also reduces the risk of …
Efficient pneumonia detection using Vision Transformers on chest X-rays
Pneumonia is a widespread and acute respiratory infection that impacts people of all ages.
Early detection and treatment of pneumonia are essential for avoiding complications and …
Early detection and treatment of pneumonia are essential for avoiding complications and …
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
Artificial Intelligence in battling infectious diseases: A transformative role
C Li, G Ye, Y Jiang, Z Wang, H Yu… - Journal of Medical …, 2024 - Wiley Online Library
It is widely acknowledged that infectious diseases have wrought immense havoc on human
society, being regarded as adversaries from which humanity cannot elude. In recent years …
society, being regarded as adversaries from which humanity cannot elude. In recent years …
A tree-based explainable AI model for early detection of Covid-19 using physiological data
With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and
challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data …
challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data …