In 2014, Experian Marketing Services released research identifying six distinct deal-seeking consumer segments. The ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

SAM segments objects in images and videos, even audio can be separated by prompt: The AI model is freely available.

RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling ...

Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI images, independent of sequence. In the study, the model ...

A powerful Visit Type Segmentation coupled with a traditional Recency, Frequency, Success model doesn’t just expose the data in a performance-efficient manner – it helps marketers understand how the ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...