Figure 1 | Scientific Reports

Figure 1

From: Introduction of a cascaded segmentation pipeline for parametric T1 mapping in cardiovascular magnetic resonance to improve segmentation performance

Figure 1

Processing pipelines for refU, cropU and crinU. Convolutional neural networks (CNNs) are used for the segmentation of the myocardium as tissue of interest. While refU directly uses the input image, cropU and crinU use the region of interest image section that belongs to the 1.5 times enlarged bounding box from an object detection algorithm (ODA). In contrast to cropU, crinU uses a two channel image with the second channel having the original predicted bounding box mask.

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