Morphology-guided deep learning framework for segmentation of pancreas in computed tomography images
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DOI: 10.1117/1.jmi.9.2.024002
Abstract: Abstract. Purpose: Accurate segmentation of the pancreas using abdominal computed tomography (CT) scans is a prerequisite for a computer-aided diagnosis system to detect pathologies and perform quantitative assessment of pancreatic disorders. Manual outlining of the… read more here.
Keywords: segmentation pancreas; computed tomography; guided deep; morphology guided ... See more keywords
78-PUB: Machine Learning–Assisted Segmentation of Pancreas MRI
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DOI: 10.2337/db24-78-pub
Abstract: Introduction & Objective: Pancreas volume (PV) may be a useful biomarker for T1D, but manual segmentation of PV from an MRI is time consuming. The objective of this project was to develop and evaluate the… read more here.
Keywords: assisted segmentation; segmentation; none; segmentation pancreas ... See more keywords