X-ray
PulseAugur coverage of X-ray — every cluster mentioning X-ray across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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深度学习模型在COVID-19图像分类中达到98%的准确率
研究人员对用于从CT和X射线肺部影像中分类COVID-19的各种深度学习架构进行了综合比较。该研究使用了包括VGG、Densenet、Resnet、MobileNet、Xception、EfficientNet和NasNet在内的预训练模型。结果表明，Resnet和VGG架构在区分COVID-19阳性病例与健康肺部方面达到了95%至98%的高准确率，优于以往的文献发现。
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MedGemma 1.5 model enhances medical imaging and EHR understanding
Researchers have introduced MedGemma 1.5 4B, an advanced medical AI model designed to handle diverse medical data modalities. This new version integrates capabilities for high-dimensional medical imaging like CT and MRI…
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MedSR-Vision框架对医学图像超分辨率的深度学习进行基准测试
研究人员开发了MedSR-Vision，一个旨在提高MRI、CT和X射线等多种模态医学图像质量的新深度学习框架。该框架允许对不同的超分辨率模型进行评估和比较，解决了保持解剖学准确性和感知质量的挑战。该研究对SRCNN、SwinIR和Real-ESRGAN等模型进行了基准测试，深入了解了它们在特定医学成像应用中的性能，并为临床使用提供了指导。
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AI study finds lung segmentation vital for COVID-19 X-ray diagnosis
A new study published on arXiv investigates the necessity of data augmentation and lung segmentation for AI-driven COVID-19 detection using chest X-rays. The research, which proposes a methodology called SDL-COVID, foun…