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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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| Pubblicato in: | Radiother Oncol |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | 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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