AINeutralarXiv – CS AI · 18h ago6/10
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Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI
Researchers developed and evaluated six training strategies for deep learning models to segment white matter hyperintensities and stroke lesions in MRI scans using partially labeled datasets. Pseudolabeling emerged as the most effective approach, successfully leveraging 2,052 MRI volumes with incomplete annotations to create reliable automated segmentation tools for cerebral small vessel disease monitoring.