Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window. (arXiv:2206.03803v1 [eess.IV])

Since the pandemic of COVID-19, several deep learning methods were proposed
to analyze the chest Computed Tomography (CT) for diagnosis. In the current
situation, the disease course classification is significant for medical
personnel to decide the treatment. Most previous deep-learning-based methods
extract features observed from the lung window. However, it has been proved
that some appearances related to diagnosis can be observed better from the
mediastinal window rather than the lung window, e.g., the pulmonary
consolidation happens more in severe …

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