Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

Russian researchers have developed a brand-new approach to 3D image segmentation — figuring out the contours of the constituent parts in a complex structure. While their so-called negative ...

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

Innovating echocardiography video segmentation with temporal and noise-resilient techniques for refined cardiovascular diagnostic imaging The Hong Kong Polytechnic University ...

SimBioSys®, a clinical AI company leveraging spatial biophysics to drive precision in breast cancer treatment, and Ricoh 3D ...

A digital workflow begins with the acquisition of high-quality 3D image data, followed by automated or AI-assisted ...

Segmentation of optic disc and cup from the fundus retinal image helps in the detection of glaucoma which is one of the important causes for vision loss. In this study, we propose a method for optic ...

Two new approaches to creating 3D X-ray images could improve disease screening and allow imaging of delicate biological samples ...

These coordinates can then be plotted to form a 3D image." In comparison to other techniques, 3D quantum ghost imaging doesn't require scanning the sample—it can happen all at once.

These coordinates can then be plotted to form a 3D image." In comparison to other techniques, 3D quantum ghost imaging doesn't require scanning the sample—it can happen all at once.