The digital transformation in healthcare, propelled by the integration of deep learning
models and the Internet of Things (IoT), is creating unprecedented opportunities for …

Medical image fusion is an essential task for clinical diagnosis because it allows physicians
to make more accurate diagnoses. Up to now, many medical image synthesis algorithms …

Deep network attracts extensive attention in the single image super-resolution field. Most of
the deep network-based super-resolution methods usually employ a feature extraction …

Background MULTIPLEX is a single-scan three-dimensional multi-parametric MRI technique
that provides 1 mm isotropic T1-, T2*-, proton density-and susceptibility-weighted images …

The waterjet-assisted laser processing (WJALP) technology has a significant effect in
reducing the damage to the workpiece caused by laser ablation. While, due to the limitation …

Multi-modal image fusion can provide more image information, which improves the image
quality for subsequent image processing tasks. Because the images acquired using photon …

The arrangement of plant roots and their overall structure, known as root system architecture
(RSA), plays an important role in acquiring water and nutrients essential for plant growth and …

A crucial diagnostic tool for respiratory and heart disorders is chest X-ray imaging. However,
the limited resolution of acquired images can hinder accurate interpretation and subsequent …

Recently, a method for multi-exposure images fusion based on structural decomposition of
images into three parts including signal strength, signal structure and signal mean has been …

Background: Brain metastases present significant challenges in radiotherapy due to the
need for precise tumor delineation. Traditional methods often lack the efficiency and …