Deep neural network-based synthetic image digital fluoroscopy using digitally reconstructed tomograp...
Deep neural network-based synthetic image digital fluoroscopy using digitally reconstructed tomography
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Dordrecht: Springer Nature B.V
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Language
English
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Dordrecht: Springer Nature B.V
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We developed a deep neural network (DNN) to generate X-ray flat panel detector (FPD) images from digitally reconstructed radiographic (DRR) images. FPD and treatment planning CT images were acquired from patients with prostate and head and neck (H&N) malignancies. The DNN parameters were optimized for FPD image synthesis. The synthetic FPD images’...
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Full title
Deep neural network-based synthetic image digital fluoroscopy using digitally reconstructed tomography
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TN_cdi_proquest_journals_2861033388
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2861033388
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ISSN
0158-9938
E-ISSN
1879-5447
DOI
10.1007/s13246-023-01290-z
