2023年5月8日

《盗梦空间》,2021年2月04 NVIDIA伙伴DarwinAI开发了一种新的人工智能模型在CT扫描检测COVID-19跨宽96%的准确率和不同数量的场景。模型,COVID-Net CT-2,建成使用许多大型和不同数据集的创建与滑铁卢大学的几个月,公开在GitHub上。去年,启动了一个开源的神经网络称为COVID-Net COVID-19检测。他们的新模型构建在主动与一个更健壮的模型,训练最大的跨国病人病例数量和多样性研究文献。他们的学术研究详细模型的构造和验证可以在这里找到。DarwinAI NVIDIA RTX 6000用于训练神经网络和NVIDIA杰森Nano嵌入式智能平台来运行他们的推理工作负载。“通过建立COVID-NET CT-2从如此丰富和大量的数据,我们已经能够达到一个新的水平的检测精度,与COVID-19敏感性和阳性预测值超过96%在广泛和多样化的场景,”谢尔登•费尔南德斯说,Darwin-AI的首席执行官。“我们的新品平台在建设原COVID-Net模型。对于这个版本,我们已经订婚两位放射科医生在加拿大验证的方式COVID-Net CT-2使其决策。令我们高兴的是,这两个确认的决策过程COVID-Net CT-2符合他们自己的专家解释,”费尔南德斯说。 “In addition to illustrating the emerging cooperation between our respective domains, their validation exemplifies the importance of our XAI technology in constructing transparent and trustworthy AI.” The largest of the datasets used to develop the new AI model consists of over 4,500 patients across 15 countries with 200,000 CT slices. Both DarwinAI and NVIDIA are enabling researchers to build neural networks to fight COVID-19 with the help of open source AI and publicly available pre-trained models. Medical imaging AI models for detecting COVID-19 in X-rays and CTs can be accessed through DarwinAI’s COVID-Net Initiative and the NVIDIA COVID-19 NGC Catalog . Learn more about how AI, accelerated computing, and GPU technology are contributing to the worldwide battle against the novel coronavirus in the COVID-19 Research Hub .