Comparison of Deep Learning-Based Auto-Segmentation Results on Daily Kilovoltage, Megavoltage, and Cone Beam CT Images in Image-Guided Radiotherapy

Comparison of Deep Learning-Based Auto-Segmentation Results on Daily Kilovoltage, Megavoltage, and Cone Beam CT Images in Image-Guided Radiotherapy

Introduction This study aims to evaluate auto-segmentation results using deep learning-based auto-segmentation models on different online CT imaging modalities in image-guided radiotherapy. Methods Phantom studies were first performed to benchmark image quality. Daily CT images for sixty patients we...

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Bibliographic Details
Main Authors: Zhixing Wang PhD, Chengyu Shi PhD, Carson Wong BS, Seyi M Oderinde PhD, William T Watkins PhD, Kun Qing PhD, Bo Liu PhD, Terence M Williams MD, PhD, An Liu PhD, Chunhui Han PhD
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338251344198
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