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Deep Learning for Automated Meningioma Segmentation: Toward Clinical Integration and Workflow Efficiency

2026-05-15

Abstract excerpt

<h4>Key Results</h4> In five-fold cross-validation (1000 cases, six institutions), the model achieved mean Dice similarity coefficients of 0.939 for enhancing tumor, 0.937 for tumor core, and 0.921 for whole tumor, with tumor core volumes strongly correlated with reference volumes (r = 0.995). In external validation (310 cases, single institution), mean tumor core Dice was 0.872 despite heterogeneous MRI protocol...

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Literature Corpus work
a40762be-a1a9-51ea-8e48-197ffd43af09
DOI
10.64898/2026.05.12.26352585
Open publication

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