Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

Image segmentation is a pivotal pre-processing step in computer vision that involves partitioning an image into segments to simplify or change its representation for easier analysis. Over recent ...

This is a preview. Log in through your library . Abstract Most segmentation algorithms are composed of several procedures: split and merge, small region elimination, boundary smoothing,..., each ...

Johan Löf, founder and CEO, RaySearch: "We believe the future of cancer care lies in intelligent, unified systems that redefine what's possible. At ASTRO 2025, RaySearch is proud to be one of the ...

Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light vision dilemma" ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...