Advancing automated tuberculosis detection in chest radiographs through stable policy optimization with clipped objectives
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Automated tuberculosis detection from chest radiographs is a fundamentally hard problem that arises from the imbalanced nature of data and weight of clinical misclassifications. In this work, we propose a novel optimization method named clipped Proximal Policy... ...
