Research has shown that chest radiography images of patients with different diseases, such as pneumonia, COVID-19, SARS, pneumothorax, etc., all exhibit some form of abnormality. Several deep learning ...

Abstract: Convolutional Neural Network (CNN ... was hybridized using genetic algorithm to solve the retired particle problem. The purpose of this research is to take advantage of the achievements of ...

Three DL and ML models, namely Convolutional Neural Network (CNN ... was 4,000 m. Using a combination of aerial photogrammetric images and satellite images, the spatial resolution was downscaled to ...

In this study we describe ARCTA (Automated Round Cell Tumors Assessment), a fully automated algorithm for cutaneous RCT classification and mast cell tumors grading in canine histopathological images.

The purpose of this project is to show an example of how to use Convolutional Neural Network for image classification tasks ... Transfer Learning ie., to use a pretrained network and, 2) Design your ...

The results for this example were obtained using transfer learning with AlexNet, which is a deep CNN created for image ... MATLAB scripts on the above examples, see: Radar Waveform Classification ...

We found that engaging players of commercial computer games provided data that augmented deep learning and enabled scalable and readily improved image classification. You have full access to this ...