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DNN Detection and Clinical Staging of COVID-19 Chest X-rays
Peter Riley
Wolfram and other DNNs were adapted for COVID-19 detection on chest x-rays with up to 100% accuracy on 1,200 training images. Another DNN had 80% accuracy for COVID-19 staging on 80 images. Methods to improve training data with routine and AI-assisted quality assurance are discussed and assessed.
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Robert Knapp This talk will be an introduction to and summary of many of the numerical computation capabilities built into Mathematica, including arbitrary precision arithmetic, numerical linear algebra, optimization, integration, and differential ... |
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Tatjana Samardzic This paper describes a Mathematica and SystemModeler platform for automated, fast analog filter design and simulation. The platform consists of two key components:
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