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Ultra-short echo-time magnetic resonance imaging lung segmentation with under-Annotations and domain shift
Fumin Guo1, Dante Pi Capaldi2, David G McCormack3
1Department of Medical Biophysics, University of Toronto, Toronto, ON, M4N 3M5, Canada.
Medical Image Analysis
|June 21, 2021
Summary
A new continuous kernel k-means (CKKM) algorithm improves lung segmentation for ultra-short echo-time (UTE) MRI, enhancing lung disease phenotyping. This method achieves accuracy comparable to expert segmentation with minimal computational cost.
Failed At:
2026-06-19T13:48:23.624365+00:00
