https://www.selleckchem.com/pr....oducts/incb054329.ht
Computational surgical planning tools could help develop novel skull base surgical approaches that improve safety and patient outcomes. This defines a need for automated skull base segmentation to improve the usability of surgical planning software. The objective of this work was to design and validate an algorithm for atlas-based automated segmentation of skull base structures in individual image sets for skull base surgical planning. Advanced Normalization Tools software was used to construct a synthetic CT template from 6 subjects
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