Patient-Specific Hyperparameter Optimization of a Deep Learning-Based Tumor Autocontouring Algorithm on 2D Liver, Prostate, and Lung Cine MR Images: A Pilot Study

Patient-Specific Hyperparameter Optimization of a Deep Learning-Based Tumor Autocontouring Algorithm on 2D Liver, Prostate, and Lung Cine MR Images: A Pilot Study

Linear accelerator–magnetic resonance (linac-MR) hybrid systems allow for real-time magnetic resonance imaging (MRI)-guided radiotherapy for more accurate dose delivery to the tumor and improved sparing of the adjacent healthy tissues. However, for real-time tumor detection, it is unfeasible for a h...

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Bibliographic Details
Main Authors: Gawon Han, Keith Wachowicz, Nawaid Usmani, Don Yee, Jordan Wong, Arun Elangovan, Jihyun Yun, B. Gino Fallone
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Algorithms
Subjects:
autocontouring
intrafractional motion management
tumor tracking
linac-MR hybrid
MRI guidance
radiotherapy
Online Access:https://www.mdpi.com/1999-4893/18/4/233
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