Scientists have devised deep-learning and other approaches that dramatically reduce image-analysis times by orders of magnitude -- in some cases, matching the speed of image data acquisition itself.

A picture is worth a thousand words -but only when it's clear what it depicts. And therein lies the rub in making images or videos of microscopic life. While modern microscopes can generate huge ...

Next step in light microscopy image improvement New deep learning architecture enables higher efficiency compared to widely used methods Date: November 19, 2024 ...

Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and Machine Learning ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

Steg.AI has been working on a deep learning approach to this problem for years, as evidenced by this 2019 CVPR paper and the receipt of both Phase I and II SBIR government grants.

I first heard about deconvolution many years ago from a friend who told me about the image-processing software CCD Sharp from Santa Barbara Instrument Group. When you used the software, and if ...