A fast and scalable method for quality assurance of deformable image registration on lung CT scans using convolutional neural networks

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Abstract

We have developed and evaluated our method using original clinical registrations without generating any synthetic/simulated data. Moreover, test data were acquired from a different environment than that of training data, so that the method was validated robustly. The results of this study showed that our algorithm performs reasonably well in challenging scenarios.

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