In this age of algorithms, personalized insurance is encountering legal limits, especially the ban on discrimination. Can we ...

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

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.

RaySearch Laboratories AB (publ) is proud to announce its participation at ASTRO in San Francisco, California, ...

What is Intelligent Image Processing. Intelligent Image Processing is an important branch of computer vision, aimed at enabling computers to 'understand' images like humans do, by ...

Abstract: An accurate and efficient medical image segmentation algorithm plays an important role when doctors diagnose diagnosis. Using deep learning methods to tackle medical image segmentation tasks ...

Introduction: Due to the small size of citrus stems, their color similarity to the background, and their variable position relative to the fruit, accurately locating picking points using robots in ...

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

Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting ...

Abstract: Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications ...