A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

To study the application of digital signal processing to problems in image processing. Topics covered will range from the fundamentals of 2-D signals and systems, to image enhancement, restoration and ...

Artificial Intelligence (AI) has rapidly emerged as a transformative technology in healthcare, particularly in medical image processing. Medical imaging ...

Image processing with AI algorithms that can interpret images and give a diagnosis — or at least hint at one — has garnered a lot of interest. Medical customers are looking at AI accelerators.

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: A new microscopy technique developed by Queen Mary University has achieved live-cell imaging at 60nm, and could ...

Google's newly open-sourced AI image segmentation systems and models are optimized for its cloud TPU hardware, the company says.

Then, it uses that knowledge to create new, artificial image-mask pairs to augment a small dataset of real examples. A segmentation model is trained using both.

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image.