Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Intelligent pneumonia identification from chest x-rays: A systematic literature review
Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest.
The automatic detection techniques associated with computer vision are being adopted in …
The automatic detection techniques associated with computer vision are being adopted in …
[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
Introduction Pneumonia is a microorganism infection that causes chronic inflammation of the
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images
Lung disease is a most common disease all over the world. A numerous feature extraction
with classification models were discussed previously about the lung disease, but those …
with classification models were discussed previously about the lung disease, but those …
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 …
[HTML][HTML] 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 …
[HTML][HTML] Detection of pneumonia using convolutional neural networks and deep learning
P Szepesi, L Szilágyi - Biocybernetics and biomedical engineering, 2022 - Elsevier
The objective and automated detection of pneumonia represents a serious challenge in
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures
Pneumonia is a disease that leads to the death of individuals within a short period since the
flow of fluid in the lungs. Hence, initial diagnosis and drugs are very important to avoid the …
flow of fluid in the lungs. Hence, initial diagnosis and drugs are very important to avoid the …
[HTML][HTML] A novel MRI diagnosis method for brain tumor classification based on CNN and Bayesian Optimization
M Ait Amou, K Xia, S Kamhi, M Mouhafid - Healthcare, 2022 - mdpi.com
Brain tumor is one of the most aggressive diseases nowadays, resulting in a very short life
span if it is diagnosed at an advanced stage. The treatment planning phase is thus essential …
span if it is diagnosed at an advanced stage. The treatment planning phase is thus essential …
Pneumonia detection proposing a hybrid deep convolutional neural network based on two parallel visual geometry group architectures and machine learning …
Pneumonia is an acute respiratory infection that has led to significant deaths of people
worldwide. This lung disease is more common in people older than 65 and children under …
worldwide. This lung disease is more common in people older than 65 and children under …