Why the study?
Existing automated pancreas MRI analyses implement whole-organ segmentation, which provides overall quantification but fails to address spatial heterogeneity across the head, body, and tail.
An automated template registration-based method for pancreas MRI segmentation performed comparably to manual annotations and demonstrated potential for assessing regional pancreatic disease heterogeneity in type 2 diabetes.
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Automated pancreas subregion segmentation matches manual annotations; extends research on T2DM heterogeneity but leaves clinical adoption open.
Bagur et al. (2022) studied this question.
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