Deep Learning Spots Disease Early Using Chest X-Rays

Want to analyze a chest X-ray? There’s a neural network for that. Researchers from the National Institutes of Health in Bethesda, Maryland, have developed a deep learning-powered framework that detects diseases from chest X-rays. Their system then creates detailed captions for the X-rays, making it easier for doctors to screen patients and detect critical diseases early. The team used our CUDA programming model and GPUs to train their neural network, which identifies disease and describe its contexts, such as location, severity, size or affected organs. Bringing Deep Learning to Medical Images Image caption generation has made huge progress with the advancement of deep learning approaches (see “Accelerating AI with GPUs: A New Computing Model”). But most applications have used publicly available tagged images to train neural networks that can caption…


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