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Epoch-wise label attacks for robustness against label noise
The current accessibility to large medical datasets for training convolu...
12/04/2019 ∙ by Sebastian Guendel, et al. ∙
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Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
The interpretation of chest radiographs is an essential task for the det...
06/18/2019 ∙ by Florin C. Ghesu, et al. ∙
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Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Chest X-ray (CXR) is the most common X-ray examination performed in dail...
05/15/2019 ∙ by Sebastian Guendel, et al. ∙
4
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Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Chest X-ray is the most common medical imaging exam used to assess multi...
03/12/2018 ∙ by Sebastian Guendel, et al. ∙
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