IEEE

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

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 ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Frontiers

Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection

Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. Aim: To ...
IEEE

Attention Guided Semisupervised Generative Transfer Learning for Hyperspectral Image Analysis

Abstract: In geospatial image analysis, domain shifts caused by differences between datasets often undermine the performance of deep learning models due to their limited generalization ability. This ...