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Medical

OmniVision Expands Medical Image Signal Processor Family for Endoscopes and Catheters With Cost-Effective MIPI and Analog Input, USB Storage and HDMI Output

Two New Members of Award-Winning OVMed® ISP Family Increase Options for Greater Design Flexibility and Rapid Integration Into Medical Devices for Faster Time to Market SANTA CLARA, Calif. – Sept. 28, 2020 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced the OH0120 and OH0130 ASIC-based boards—the newest members of […]

OmniVision Expands Medical Image Signal Processor Family for Endoscopes and Catheters With Cost-Effective MIPI and Analog Input, USB Storage and HDMI Output Read More +

Intel AI Powers Samsung Medison’s Fetal Ultrasound Smart Workflow

What’s New: Samsung Medison and Intel are collaborating on new smart workflow solutions to improve obstetric measurements that contribute to maternal and fetal safety and can help save lives. Using an Intel® Core™ i3 processor, the Intel® Distribution of OpenVINO™ toolkit and OpenCV library, Samsung Medison’s BiometryAssist™ automates and simplifies fetal measurements, while LaborAssist™ automatically

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Video Analytics As a Tool in the Fight Against COVID-19

This market research report was originally published at Omdia | Tractica’s website. It is reprinted here with the permission of Omdia | Tractica. With the emergence of the coronavirus (COVID-19), the world has faced the unprecedented challenge of shutting down everything except for essential services. Every country around the world has been forced to lock

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Medical Imaging: Semiconductor Technology is a Key Enabler for Truly Dedicated Solutions

OUTLINES: The detector market for medical imaging equipment is forecast to grow to US$6.6 billion in 2025 with a 7,3% CAGR between 2019 and 2025. Molecular imaging, MRI and CT-scans are racing for performance, high image quality and multimodality. On the other hand, ultrasound, endoscopy and OCT are targeting accessibility and affordability with point of

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Intel Works with University of Pennsylvania in Using Privacy-Preserving AI to Identify Brain Tumors

What’s New: Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are co-developing technology to enable a federation of 29 international healthcare and research institutions led by Penn Medicine to train artificial intelligence (AI) models that identify brain tumors using a privacy-preserving technique called federated learning. Penn Medicine’s work

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OmniVision’s OVM6948 CameraCubeChip

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. The smallest camera in the world for endoscopes is based on a fully wafer bonded technology, with CIS, packaging and optic on the same wafer. Reverse costing with: Analysis of the camera module structure,

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A Breath of Fresh Air: How GE Healthcare is Accelerating Pneumothorax Detection with AI

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Medical imaging data contains the power to save lives. Every tiny sliver of an image potentially holds the key to hugely important breakthroughs in treatment. And this year alone, hospitals produced over 50 petabytes of data, with

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Huiying Medical: Helping Combat COVID-19 with AI Technology

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The COVID-19 coronavirus, since its initial outbreak in Wuhan, China, has quickly become a global pandemic, as declared by the World Health Organization (WHO). The number of confirmed cases has exceeded 577,531 globally as of March 27,

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Deep Learning for Medical Imaging: COVID-19 Detection

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. I’m pleased to publish another post from Barath Narayanan, University of Dayton Research Institute (UDRI), LinkedIn Profile. Co-author: Dr. Russell C. Hardie, University of Dayton (UD) Dr. Barath Narayanan graduated with MS and Ph.D. degree in Electrical Engineering

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