Geometric and Dosimetric Evaluation of Deep Learning-Based Automatic Delineation on CBCT-Synthesized CT and Planning CT for Breast Cancer Adaptive Radiotherapy: A Multi-Institutional Study

PURPOSE: We developed a deep learning model to achieve automatic multitarget delineation on planning CT (pCT) and synthetic CT (sCT) images generated from cone-beam CT (CBCT) images. The geometric and dosimetric impact of the model was evaluated for breast cancer adaptive radiation therapy. METHODS:...

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Detalles Bibliográficos
Autores principales: Dai, Zhenhui, Zhang, Yiwen, Zhu, Lin, Tan, Junwen, Yang, Geng, Zhang, Bailin, Cai, Chunya, Jin, Huaizhi, Meng, Haoyu, Tan, Xiang, Jian, Wanwei, Yang, Wei, Wang, Xuetao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630628/
https://www.ncbi.nlm.nih.gov/pubmed/34858813
http://dx.doi.org/10.3389/fonc.2021.725507

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630628/
https://www.ncbi.nlm.nih.gov/pubmed/34858813
http://dx.doi.org/10.3389/fonc.2021.725507

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