Abstract Novel coronavirus illness 2019 (COVID-19) continues to spread exponentially and
has incurred over 7,000,000 infections and 400,000 deaths worldwide. To build an efficient …

The evaluation of white blood cells is essential to assess the quality of the human immune
system; however, the assessment of the blood smear depends on the pathologist's …

Researchers seek help from deep learning methods to alleviate the enormous burden of
reading radiological images by clinicians during the COVID-19 pandemic. However …

Deep learning approaches have demonstrated remarkable progress in automatic Chest X-
ray analysis. The data-driven feature of deep models requires training data to cover a large …

Over the last years, Deep Learning has been successfully applied to a broad range of
medical applications. Especially in the context of chest X-ray classification, results have …

Pose estimation of construction workers is critical to ensuring safe construction and
protecting construction workers from ergonomic risks. Computer vision (CV)-based 3D pose …

We used agnostic, unsupervised machine learning to cluster a large clinical database of
information on infants admitted to neonatal units in England. Our aim was to obtain insights …

The ongoing coronavirus disease 2019 (COVID-19) is still rapidly spreading and has
caused over 7,000,000 infection cases and 400,000 deaths around the world. To come up …

Performance of trained neural network (NN) models, in terms of testing accuracy, has
improved remarkably over the past several years, especially with the advent of deep …

This study presents a novel multimodal deep learning model designed to improve early
detection and diagnosis of chronic cardiac conditions such as Severe Left Ventricular …