Advancements in deep learning and computer vision provide promising solutions for
medical image analysis, potentially improving healthcare and patient outcomes. However …

The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Artificial intelligence generated content (AIGC) has emerged as a promising technology to
improve the efficiency, quality, diversity and flexibility of the content creation process by …

Medical image analysis using deep neural networks (DNN) has demonstrated state-of-the-
art performance in image classification and segmentation tasks, aiding disease diagnosis …

Abstract Machine learning in medical imaging often faces a fundamental dilemma, namely,
the small sample size problem. Many recent studies suggest using multi-domain data …

Due to the fast advancement of artificial intelligence (AI), centralized-based models have
become critical for healthcare tasks like in medical image analysis and human behavior …

In recent years, artificial intelligence (AI) and machine learning (ML) are resha** society's
production methods and productivity, and also changing the paradigm of scientific research …

In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving
solution by aggregating local models without sharing data. Traditional supervised learning …

Advances in artificial intelligence (AI) and computer vision hold great promise for assisting
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …

Deep learning has been a powerful tool for medical image analysis, but large amount of
high-quality labeled datasets are generally required to train deep learning models with …