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Ensemble of neural networks for 3D position estimation in monolithic PET detectors

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Ensemble of neural networks for 3D position estimation in monolithic PET detectors

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Iborra Carreres, A.; González Martínez, AJ.; González, A.; Bousse, A.; Visvikis, D. (2019). Ensemble of neural networks for 3D position estimation in monolithic PET detectors. Physics in Medicine and Biology. 64(19):1-20. https://doi.org/10.1088/1361-6560/ab3b86

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Título: Ensemble of neural networks for 3D position estimation in monolithic PET detectors
Autor: Iborra Carreres, Amadeo González Martínez, Antonio Javier González, A. Bousse, A. Visvikis, Dimitris
Entidad UPV: Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Fecha difusión:
Resumen:
[EN] We propose an ensemble of multilayer feedforward neural networks to estimate the 3D position of photoelectric interactions in monolithic detectors. The ensemble is trained with data generated from optical Monte Carlo ...[+]
Palabras clave: Positron-emission tomography , Monolithic PET detectors , Ensemble of neural networks , Monte Carlo generated training , Interaction position determination , Depth of interaction determination
Derechos de uso: Reserva de todos los derechos
Fuente:
Physics in Medicine and Biology. (issn: 0031-9155 )
DOI: 10.1088/1361-6560/ab3b86
Editorial:
IOP Publishing
Versión del editor: https://doi.org/10.1088/1361-6560/ab3b86
Código del Proyecto:
info:eu-repo/grantAgreement/EC/FP7/603002/EU/Multimodal Imaging of Neurological Disorders/
Tipo: Artículo

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