Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms.

While the performances are yet to achieve reliable medical diagnosis performances, we observe a positive trend with our proposed method, showing the potential of safely classifying almost 30% of samples as benign.

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