DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer

DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer

PurposeThe study aimed to implement a novel, deeply accelerated adaptive radiation therapy (DAART) approach for lung cancer radiotherapy (RT). Lung cancer is the most common cause of cancer-related death, and RT is the preferred medically inoperable treatment for early stage non-small cell lung canc...

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Bibliographic Details
Main Authors: Hamed Hooshangnejad, Quan Chen, Xue Feng, Rui Zhang, Reza Farjam, Khinh Ranh Voong, Russell K. Hales, Yong Du, Xun Jia, Kai Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Oncology
Subjects:
deep learning
machine learning
image synthesis
adaptive radiation therapy (ART)
artificial intelligence
non small cell lung cancer (NSCLC)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1201679/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1201679/full

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