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A neural network based 3D∕3D image registration quality evaluator for the head-and-neck patient setup in the absence of a ground truth
Purpose: To develop a neural network based registration quality evaluator (RQE) that can identify unsuccessful 3D∕3D image registrations for the head-and-neck patient setup in radiotherapy. Methods: A two-layer feed-forward neural network was used as a RQE to classify 3D∕3D rigid registration soluti...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2973990/ https://ncbi.nlm.nih.gov/pubmed/21158287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3502756 |
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