The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
P. aeruginosa is a highly adaptable bacterium and a major cause of hospital-acquired pneumonia (HAP) or ventilator-associated pneumonia (VAP) cases, which can lead to further spread of infection, ...
This project hopes to create a warning system to prevent the next bridge collapse or other major infrastructure disaster. A new European project is hoping to demonstrate that fibre-optic cables, the ...
A lung-scanning procedure that can detect sub-clinical pneumonia in non-symptomatic calves could be game-changing for farmers, a leading vet has said. Thoracic ultrasound uses the same linear probe ...
Abstract: This medical research introduces a hybrid model using transfer learning from DenseNet201, InceptionResNetV2, and ResNet50 for superior pneumonia detection. Emphasizing the crucial value of ...
Decision makers have concluded that this technology will not progress as a potential technology appraisal or a highly specialised technology. Traditional approaches to cost-effectiveness analysis, as ...
In a recent paper posted to the preprint repository medRxiv*, researchers investigated the potential of using deep learning algorithms for automating pneumonia detection from chest X-ray images. They ...
Abstract: This paper provides a detailed study to detect the langour of the driver using python programming language and haar training algorithm to identify the eye movements of the driver by ...
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