ContextVision announces first digital pathology patent granted for its unique and objective data-generation method

Master Annotation method has received patent protection in the U.S. The U.S. Patent and Trademark Office (USPTO) has granted a patent to ContextVision for this invention, titled “method and system for detecting pathological anomalies in a digital pathology image and method for annotating a tissue slide”.
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ContextVision unveils latest innovation in advanced medical imaging

ContextVision unveils latest innovation in advanced medical imaging At this year’s RSNA, ContextVision demonstrates Rivent™, taking image enhancement for ultrasound to a whole new level STOCKHOLM – Nov. 18, 2019 – ContextVision, a medical technology software company specializing in image analysis and artificial intelligence, provides cutting-edge technology to support clinicians to accurately interpret medical images, […]
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ContextVision – Strong Q3 with solid sales, good inflow of new customers and first product in digital pathology enters beta-testing phase

ContextVision has seen a strong third quarter in 2019 as new customers have been added and the first product in digital pathology has entered the beta-testing phase. Q3 sales reached 23 MSEK and total sales are growing +5% compared to the third quarter last year. The operating result was positive 4.6 MSEK.
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ContextVision – Second quarter saw commercial release of first AI-based product, Altumira™, Digital Pathology on track and record sales

ContextVision’s AI-based product Altumira™ for X-ray is now commercially available and INIFY Prostate for digital pathology will soon move to beta testing in several pathology labs. Q2 sales reached 23,1 MSEK, record sales for second quarter, 5,5% higher than Q2 2018. The operating result was positive 5,4 MSEK, mainly due to higher capitalization for product development but also supported by strong sales performance.
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ContextVision’s Deep Learning experts will hold an oral presentation at the Medical Imaging & Deep Learning conference in London July 8–10

This paper presents an interesting and novel idea of a deep learning (DL) framework to segment potentially cancerous areas in prostate biopsies using semi-automatically generated data. The application of this paper is quite innovative and the proposed method seems to be a direct assistance to the clinical routine.
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Meet us at CMEF, May 14–17, 2019

Meet us at CMEF, April 11–14, 2018, Shanghai, China. Hall 5.1, Booth D10. Contact us: John Xie 谢家农 / Sales Manager, phone +86 13 801 333 835, e-mail 
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