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Automated segmentation and volume prediction in pediatric Wilms’ tumor CT using nnu-net
10
Zitationen
7
Autoren
2024
Jahr
Abstract
We introduce a novel method that enhances the accuracy of predicting WT volume by integrating AI automated outlining and 3D tumor diameters. This approach surpasses the accuracy of using AI outcomes alone and has the potential to enhance the clinical evaluation of pediatric patients with WT. By intertwining AI outcomes with clinical data, this method becomes more interpretive and offers promising applications beyond Wilms tumor, extending to other pediatric diseases.
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