A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
Chest X-ray analysis empowered with deep learning: A systematic review
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …
particularly plays an important role in the diagnosis of medical conditions such as …
Transfer learning for medical images analyses: A survey
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …
science and also revitalized numerous fields where traditional machine learning methods …
[HTML][HTML] A machine learning method for defect detection and visualization in selective laser sintering based on convolutional neural networks
E Westphal, H Seitz - Additive Manufacturing, 2021 - Elsevier
Part defects and irregularities that influence the part quality is an especially large problem in
additive manufacturing (AM) processes such as selective laser sintering (SLS). Destructive …
additive manufacturing (AM) processes such as selective laser sintering (SLS). Destructive …
Customized VGG19 architecture for pneumonia detection in chest X-rays
Pneumonia is one of the major illnesses in children and aged humans due to the Infection in
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …
Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Since the arrival of the novel Covid-19, several types of researches have been initiated for
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
LungNet22: a fine-tuned model for multiclass classification and prediction of lung disease using X-ray images
In recent years, lung disease has increased manyfold, causing millions of casualties
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …
A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: A deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …