Jul 4, 2018 · In this work, we show that machine learning models can be trained to give uncertainty scores to data instances that might result in high expert ...
In this work, we show that machine learning mod- els can be trained to give uncertainty scores to data instances that might result in high expert disagreements.
Poster #246: Direct Uncertainty Prediction for Medical Second Opinions. Direct Uncertainty Prediction for Medical. Second Opinions. Maithra Raghu, Katy Blumer ...
This work shows that machine learning models can be trained to give uncertainty scores to data instances that might result in high expert disagreements, ...
Saliency maps for DUP and UVC models on the SVHN/CIFAR-10 disagreement task. The plot shows two images from the blurred CIFAR-10 dataset and two images from the ...
Jan 5, 2021 · With the ability to say “I don't know” based on predictive uncertainty estimates, models will be able to flag physicians for a second opinion.
Jun 4, 2019 · We show that machine learning models can successfully predict human disagreements directly from the data, with Direct Uncertainty Prediction (DUP) providing a ...
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Direct Uncertainty Prediction for Medical Second Opinions
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Oct 1, 2018 · An important clinical threshold is at grade 3 and above, which corresponds to Referable DR, which requires immediate specialist attention.
Sep 13, 2018 · We study the application of machine learning to predictwhich instances are likely to give rise to maximal expert disagreement. Asnecessitated by ...
We show stronger performance for predicting disagreement via this direct method both in a synthetic setting whose parameters we can fully control, and in a ...