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What is Deep Learning-Based Synthetic CT Generation From MR Images: Comparison of Generative Adversarial and Residual Neural Networks about?

This study compares the performance of generative adversarial networks (GAN) and residual networks (ResNet) in generating synthetic CT images from MR images for MRI-only radiotherapy. The ResNet model demonstrated superior accuracy in estimating CT values and delineating brain tissues, with a mean absolute error of 114.1±27.5 HU compared to the GAN

Author

saima.jabeen.pak

Language

EN