Transfer learning aims at improving the performance of target learners on target domains by
transferring the knowledge contained in different but related source domains. In this way, the …

Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …

In this work, we propose a deep learning method for breast mass segmentation in
ultrasound (US). Variations in breast mass size and image characteristics make the …

Falls in the elderly are associated with significant morbidity and mortality. While numerous
fall detection devices incorporating AI and machine learning algorithms have been …

This review article summarizes recent technical developments in ultrashort echo time (UTE)
magnetic resonance imaging of musculoskeletal (MSK) tissues with short‐T2 relaxation …

Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …

By leveraging the recent development of artificial intelligence algorithms, several medical
sectors have benefited from using automatic segmentation tools from bioimaging to segment …

Over the last few years, convolutional neural networks (CNNs) have dominated the field of
computer vision thanks to their ability to extract features and their outstanding performance …