https://www.selleckchem.com/pr....oducts/brigatinib-ap
There are two challenges associated with the interpretability of deep learning models in medical image analysis applications that need to be addressed confidence calibration and classification uncertainty. Confidence calibration associates the classification probability with the likelihood that it is actually correct - hence, a sample that is classified with confidence X% has a chance of X% of being correctly classified. Classification uncertainty estimates the noise present in the classification process, where such noise est
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