I cover Android with a focus on productivity, automation, and Google’s ecosystem, including Gemini and everyday apps. With a background in engineering and software development, I tend to go beyond ...

Researchers using artificial intelligence and advanced imaging said on Thursday they had achieved the first complete reading ...

Explore the three core challenges of translating visual text beyond OCR, including context, layout, and multilingual accuracy ...

Google is building a C2PA image detection tool into Messages that will show users detailed labels about how a shared photo was created.

Our group has developed and validated an advanced microfluidic platform to improve preclinical modeling of healthy and disease states, enabling extended culture and detailed analysis of ...

The oct-segmenter was developed with a focus on the needs of researchers working in the ophthalmology field. However, this tool is flexible enough that it can also accommodate other use cases as well.

Automatic brain structural parcellation through registration-based segmentation-propagation and multi-atlas-based label-fusion This bash scripts is created for Multi-atlas based automatic brain ...

Retinal segmentation is a prerequisite for quantifying retinal structural features and diagnosing related ophthalmic diseases. Canny operator is recognized as the best boundary detection operator so ...

Calcium transient analysis is central to understanding inherited and acquired cardiac physiology and disease. Although the development of novel calcium reporters enables assays of CRISPR/Cas-9 ...

Serial electron microscopy techniques have proven to be a powerful tool in biology. Unfortunately, the data sets they generate lack robust and accurate automated segmentation algorithms. In this data ...