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Weakly and Semi Supervised Detection in Medical Imaging via Deep Dual Branch Net
We show that the time consuming local annotations involved in supervised learning can be addressed by a weakly supervised method that can leverage a subset of locally annotated data.
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
The high cost of generating expert annotations, poses a strong limitation for supervised machine learning methods in medical imaging.
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