Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT)

BACKGROUND AND PURPOSE: To investigate a novel markerless prostate localization strategy by using a pre-trained deep learning model to interpret routine projection kilovoltage (kV) X-ray images in image-guided radiation therapy (IGRT). MATERIALS AND METHODS: We developed a personalized region-based...

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Detaylı Bibliyografya
Yayımlandı:Radiother Oncol
Asıl Yazarlar: Zhao, Wei, Han, Bin, Yang, Yong, Buyyounouski, Mark, Hancock, Steven L, Bagshaw, Hilary, Xing, Lei
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2019
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6814540/
https://ncbi.nlm.nih.gov/pubmed/31302347
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.radonc.2019.06.027
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