医学
危险分层
队列
人工智能
流体衰减反转恢复
磁共振成像
分割
计算机科学
医学物理学
内科学
机器学习
放射科
作者
Ayhan Can Erdur,D Scholz,Quang Hai Nguyen,Josef A. Buchner,Michael Mayinger,Sebastian M. Christ,Thomas Brunner,Andrea Wittig,Claus Zimmer,Bernhard Meyer,Matthias Gückenberger,Nicolaus Andratschke,Rami A. El Shafie,Jürgen Debus,Susanne Rogers,Oliver Riesterer,Katrin Schulze,Horst Jürgen Feldmann,Oliver Blanck,Constantinos Zamboglou
标识
DOI:10.1016/j.radonc.2025.111031
摘要
Our ViT-based model offers a potential for personalized treatment strategies and follow-up regimens in patients with brain metastases. It provides an alternative to radiomics as a robust, automated tool for clinical workflows, capable of improving patient outcomes through effective risk assessment and stratification.
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