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. 2019 Mar 27;1(2):180022. doi: 10.1148/ryai.2019180022

Figure 4a:

Figure 4a:

Liver segmentation accuracy for (a) the initial convolutional neural network (CNN) and (b) the multimodal CNN. (c) Segmentation accuracy for the multimodal CNN trained by using one to 10 CT image sets. (d) Segmentation accuracy for the multimodal CNN trained using one to 20 contrast-enhanced hepatobiliary phase T1-weighted MRI datasets (HBP-T1w-MRI). 3D-SPGR = unenhanced low-flip-angle three-dimensional multiecho spoiled gradient-echo MRI with variable T2* weighting; 2D-SPGR = unenhanced low-flip-angle two-dimensional multiecho spoiled gradient-echo MRI with variable T2* weighting; CE/NC-CT = contrast-enhanced or unenhanced CT.