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European Radiology Experimental
Fig. 4 | European Radiology Experimental

Fig. 4

From: Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images

Fig. 4

Baseline static (a) and follow-up moving images (b, c). In b, the follow-up image registered to baseline manually using the bifurcation of the right portal vein as anatomical reference: differences in liver morphology are pronounced in the posterior aspect of the liver (circle) and in the left lobe (circle). In c, the follow-up image registered to baseline using the automated affine algorithm shows better correspondence to baseline image

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