A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...

Abstract: The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social communication. Earlier diagnosis of ASD from brain image is necessary for reducing the effect of disorder. In ...

This project implements and compares Vision Transformer (ViT), ResNet-18 (Transfer Learning), and a CNN-MLP Hybrid model for image classification on CIFAR-10. It includes a Flask-based web app where ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

An optimized ResNet-18 architecture integrating deformable convolution and efficient channel attention was further introduced to enhance feature representation. The present study aimed to develop and ...