this package provides a spatial-image data structure. In addition to an N-dimensional array of pixel values, spatial metadata defines the location of the pixel sampling grid in space time. We also ...

Generative methods have been proposed to create medical images using AI techniques. Nevertheless, 2D approaches have difficulty dealing with 3D anatomical structures ... We propose a data-guided ...

It starts by converting from the Red Blue Green (RGB) image to a depth map, which is then projected onto a 3D mesh to create an RGB-Depth image. This is then turned into a stereo image by working ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...

Furthermore, interactions between biomolecular entities, frequently through direct physical contact controlled by their 3D structure, facilitate various biological processes. Therefore, it is ...

To generate the synthetic 3D dataset, the trained GAN uses high resolution anatomical models from Computed Tomography (CT) as input. A qualitative analysis of the synthesized images showed that the ...

Focused ion beam (FIB) tomography is a destructive technique used to collect three-dimensional (3D ... tomography data of nanoporous structures despite shine-through effects. We present a novel ...

Our open-source method is implemented in Python and can be used ... μMatch (pronounced microMatch), a 3D shape correspondence pipeline tailored to the particularities of structures as they appear in ...