Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

At Carnegie Mellon University’s Next Manufacturing Center, researchers have developed an off-axial imaging system to capture ...

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.

Deploy powerful computer vision instantly. Meet CamThink NeoEyes NE503: a 20 TOPS 4K Edge AI camera featuring open-source ...

Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...

Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the ...

Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...