NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics.

Aly H Abayazeed,Ahmed Abbassy,Michael Müeller,Michael Hill,Mohamed Qayati,Shady Mohamed, Mahmoud Mekhaimar,Catalina Raymond,Prachi Dubey,Kambiz Nael,Saurabh Rohatgi, Vaishali Kapare,Ashwini Kulkarni,Tina Shiang, Atul Kumar,Nicolaus Andratschke,Jonas Willmann,Alexander Brawanski, Reordan De Jesus,Ibrahim Tuna,Steve H Fung,Joseph C Landolfi,Benjamin M Ellingson,Mauricio Reyes

Neuro-oncology advances（2023）

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摘要

NS-HGlio is accurate, repeatable, and generalizable. The output can be used for visualization, documentation, treatment response monitoring, radiation planning, intra-operative targeting, and estimation of Residual Tumor Volume among others.

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关键词

RANO,artificial intelligence,glioma,machine learning,segmentation

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