| CPC G06T 7/11 (2017.01) [G06T 7/136 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01)] | 20 Claims |

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1. A computer-implemented method for tumor segmentation, the method comprises:
obtaining image data of a region of interest of a subject's body, wherein the region of interest corresponds to a tumor of the subject's body;
generating two or more tumor segmentation predictions based on the image data using two or more trained segmentation networks;
calculating a divergence between the two or more tumor segmentation predictions; and
generating a visualization of tumor segmentation uncertainty based on the calculated divergence between the two or more tumor segmentation predictions.
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