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

PurposeWe 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.MethodsWe r...

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Autores principales:	Zhenhui Dai, Yiwen Zhang, Lin Zhu, Junwen Tan, Geng Yang, Bailin Zhang, Chunya Cai, Huaizhi Jin, Haoyu Meng, Xiang Tan, Wanwei Jian, Wei Yang, Xuetao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	deep learning automatic delineation synthetic CT dosimetric evaluation adaptive radiotherapy Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/147e72091cd94860b8bd5dc777844f3d
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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

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