Deep Learning-Based Cardiac Chamber Segmentation in Magnetic Resonance-Guided Adaptive Radiation Therapy

Purpose: Accurate cardiac chamber segmentation is crucial for improving cardiac sparing in magnetic resonance (MR)-guided adaptive radiation therapy, especially in patients at risk for radiation-induced cardiotoxicity. Here, we developed and evaluated automatic segmentation models for cardiac chambe...

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Detalhes bibliográficos
Main Authors: Xinru Chen, PhD, Yao Ding, PhD, Julius Weng, MD, Carol C. Wu, MD, Yao Zhao, PhD, Angela Sobremonte, BS, Mustefa Mohammedsaid, MS, Zhan Xu, PhD, Xiaodong Zhang, PhD, Joshua S. Niedzielski, PhD, Sanjay S. Shete, PhD, Laurence E. Court, PhD, Zhongxing Liao, MD, Jihong Wang, PhD, Ergys Subashi, PhD, Percy P. Lee, MD, Jinzhong Yang, PhD
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-09-01
Colecção:Advances in Radiation Oncology
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2452109425001320
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