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Fuzzy masks: boosting radiomic reliability in head and neck tumors amid delineation uncertainty
0
Zitationen
8
Autoren
2026
Jahr
Abstract
Fuzzy mask models tumor contour uncertainty via gradient transitions. The method yields up to 29 more reliable features than binary masks. Gradient weighting produces 2% more independent feature clusters. Intraclass correlation coefficient of the predictive outputs of model is up to 0.99. Intensity equalization mechanisms drive the observed reliability gains.
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