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

Abstract: With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, ...

iPETcertum™, recently cleared by the US FDA, will be distributed in Brazil by New Vida Medicamentos e Productos Ltda., a wholly owned subsidiary of Claritas NucMed Brazil, and an approved distributor ...

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 ...

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

The latest Apple-made artificial intelligence model, FastVLM, is now available for users to try out, offering a significantly faster video-captioning AI that can describe what the camera captures on ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Microsoft has added an OCR function (Optical Character Recognition) to the Windows Photos app, which basically means it can now recognize text in an image and instantly extract it for you. To use this ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...