We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




New AI Software Reconstructs Images in Real-Time

By MedImaging International staff writers
Posted on 25 Dec 2018
Print article
Image: DeepRay creates clear, undistorted views of the real world from a damaged or obscured moving image (Photo courtesy of Cambridge Consultants).
Image: DeepRay creates clear, undistorted views of the real world from a damaged or obscured moving image (Photo courtesy of Cambridge Consultants).
Scientists at Cambridge Consultants (Cambridge, UK) have developed an Artificial Intelligence (AI) technology that creates clear, undistorted views of the real world from a damaged or obscured moving image. Based on recent advances in deep learning, the solution named DeepRay has the power to see clearly in difficult, unpredictable situations and could transform numerous machine vision and imaging applications, from autonomous driving to empowering healthcare professionals with more accurate medical imaging.

Cambridge Consultants, a breakthrough innovation specialist, helps its healthcare clients develop robust, scalable platforms capable of handling large amounts of data from devices, leveraging recent advancements in connectivity, data science, machine learning and digital services. DeepRay is the latest technology to emerge from the company’s Digital Greenhouse, a unique experimental environment where data scientists and engineers explore and cultivate cutting-edge deep learning techniques.

In recent years, machine vision systems have progressed rapidly, although their performance can quickly deteriorate if a view is obscured by rain, smoke, dirt or other obstructions. This has serious implications for real-world applications where image quality can be degraded by environmental factors or damage to camera-based systems. DeepRay learns what real-world scenes and objects look like and also how they appear with various image distortions applied. When presented with a distorted image it has never seen before, the technology can then form a real-time judgment of the ‘true’ scene behind the distortion. Having this “mind’s eye” ability allows DeepRay to outperform humans and existing machine vision approaches in reconstructing clear images under difficult conditions.

“Never before has a new technology enabled machines to interpret real-world scenes the way humans can – and DeepRay can potentially outperform the human eye. This takes us into a new era of image sensing and will give flight to applications in many industries, including automotive, agritech and healthcare,” said Tim Ensor, Commercial Director for Artificial Intelligence at Cambridge Consultants. “The ability to construct a clear view of the world from live video, in the presence of continually changing distortion such as rain, mist or smoke, is transformational. We’re excited to be at the leading edge of developments in AI. DeepRay shows us making the leap from the art of the possible, to delivering breakthrough innovation with significant impact on our client’s businesses.”

Related Links:
Cambridge Consultants

Portable Color Doppler Ultrasound System
S5000
40/80-Slice CT System
uCT 528
Ultrasonic Pocket Doppler
SD1
New
Mobile X-Ray Machine
MARS 15 / 30

Print article

Channels

MRI

view channel
Image: An AI tool has shown tremendous promise for predicting relapse of pediatric brain cancer (Photo courtesy of 123RF)

AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans

Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more

Nuclear Medicine

view channel
Image: In vivo imaging of U-87 MG xenograft model with varying mass doses of 89Zr-labeled KLG-3 or isotype control (Photo courtesy of L Gajecki et al.; doi.org/10.2967/jnumed.124.268762)

Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors

Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.