News | Advanced Visualization | November 08, 2016

Highlights of annual meeting will include debut of company’s first AI-based prototype to reduce ultrasound exam times, make exams more automated and user-friendly

November 8, 2016 — At this year’s annual meeting of the Radiological Society of North America (RSNA 2016), ContextVision will demonstrate its wide range of imaging enhancement software solutions for ultrasound, X-ray-based modalities and magnetic resonance imaging (MRI).

This past year, ContextVision has made investments in artificial intelligence (AI) and deep learning. The company has been exploring the use of deep learning to optimize image quality, automate ultrasound and develop organ-specific segmentation with ultrasound. VEPiO, the first AI-based prototype from ContextVision, is designed to decrease patient examination time, make ultrasound examinations more user-friendly and provide automated diagnostic confidence. This has led to the debut of the company’s new branding, which highlights their new role within artificial intelligence.

In a recent machine learning competition, the Tumor Proliferation Assessment Challenge 2016, ContextVision placed second with its SLDESUTO partner (HES-SO).

For more information: www.contextvision.com


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