This study aimed to conduct intensive experiments on predictive machine learning models to
predict the parameters behind death due to the coronavirus (COVID-19). Datasets were …

The rendering of digitally reconstructed radiograph (DRR) images involves creating a digital
reconstruction of an image made by a three-dimensional (3D) imaging system, such as a …

Purpose: The generation of digitally reconstructed radiographs (DRRs) is the most time
consuming step on the CPU in intensity based two‐dimensional x‐ray to three‐dimensional …

Abstract Purpose Simulated 2D X-ray images called digitally reconstructed radiographs
(DRRs) have important applications within medical image registration frameworks where …

Purpose: Simulated projection images of digital phantoms constructed from CT scans have
been widely used for clinical and research applications but their quality and computation …

Now-a-days artificial intelligence has huge impact on medical field and outcompeted the
conventional methods that are being used. In clinical fluoroscopy procedures most of the …

In different areas, particularly medical image analysis, there is a vital need to access and
analyse dynamic three-dimensional (3D) images of the anatomical structures of the human …

Intensity-based three-dimensional to two-dimensional (3D/2D) X-ray image registration
algorithms usually require generating digitally reconstructed radiographs (DRRs) in every …

X-ray imaging systems play an important role in the diagnostic process of various medical
conditions. Generating an accurate artificial X-ray image has multiple advantages. It allows …

Automatic segmentation of medical images is a key step in contouring during radiotherapy
planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most …