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Segmed
Приєднався 14 вер 2021
ECR 2024 AI Lightning Talk: Segmed Insight: Real-World Imaging Data for Research and Development
Industry Session performed at the European Congress of Radiology (ECR) 2024, which took place at the Austria Center Vienna, Austria
Title: Segmed Insight: Real-World Imaging Data for Research and Development
ECR Session: AI-IND 12 - AI Lightning Talks 9
Presenters: Martin Willemink (CEO and Cofounder) and Jie Wu (CTO and Cofounder), from Segmed, Inc.
Duration: 4:40min
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In this recording session, Martin Willemink and Jie Wu presented how Segmed provides millions of imaging data through our proprietary data platform, Insight. Insight opens up millions of images and health records to clinicians, researchers, and AI developers.
For more information, please visit www.segmed.ai.
Title: Segmed Insight: Real-World Imaging Data for Research and Development
ECR Session: AI-IND 12 - AI Lightning Talks 9
Presenters: Martin Willemink (CEO and Cofounder) and Jie Wu (CTO and Cofounder), from Segmed, Inc.
Duration: 4:40min
---
In this recording session, Martin Willemink and Jie Wu presented how Segmed provides millions of imaging data through our proprietary data platform, Insight. Insight opens up millions of images and health records to clinicians, researchers, and AI developers.
For more information, please visit www.segmed.ai.
Переглядів: 162
Відео
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Large-scale multimodal generative models are usually trained on millions of natural images and text pairs. Despite their excellent generative capabilities, these models usually do not generalize well to specific domains such as medical images. Developing generative models for medical images that faithfully represent the clinical context can help address the lack of well-curated datasets in heal...
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Bytes of Innovation, Episode 20, Augmented Intelligence in Advanced Cancer Imaging Andrew Smith
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Bytes of Innovation, Episode 19 Radiology, AI, and the Future Ryan Lee
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Episode 18 High time for new medical imaging segmentation methods Veit Sandfort
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Bytes of Innovation Episode 3 Navigating key legal issues in health data monetization Allison Bender
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Bytes of Innovation, Episode 18, Veit Sandfort, New medical imaging segmentation methods
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Segmentation in medical imaging has immensely benefited from deep learning methods but since the invention of the U-net in 2015 there has been a drought of truly new ideas. Instead, there was a flood of variations of the U-net for specific applications with somewhat incremental improvements. On the other hand, during the last 5 years, other areas of deep learning such as natural language proces...
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Bytes of Innovation 2022, Episode 11, Shelly Yehezkely - Medical AI Life Cycle
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Bytes of Innovation 2022, Episode 10, Robert Pearl - Breaking Healthcare's Technology Rules
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Bytes of Innovation, Episode 9, Felipe Kitamura - Data-centric AI in medical imaging
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Thank you for this amazing session.. Really enjoyed it❤
super great talk!
Pretty good
Why can't AI compare priors? If it's not currently possible, seems like the natural next step to take.
Great talk !
Thanks for the super great talk!
There seems to a definite correlation between Pandemic and the graph !!! The curve almost resembles hospitalization due to pandemic a favorite in world of Epidemiologists!!!! AI is Hype???