Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks.

Partridge, T; Astolfo, A; Shankar, S S; Vittoria, F A; Endrizzi, M; Arridge, S; Riley-Smith, T; Haig, I G; Bate, D; Olivo, A

Partridge, T; Astolfo, A; Shankar, S S; Vittoria, F A; Endrizzi, M; Arridge, S; Riley-Smith, T; Haig, I G; Bate, D; Olivo, A.

Afiliación

Partridge T; Department of Medical Physics and Biomedical Engineering, UCL, London, WC1E 6BT, UK.
Astolfo A; Department of Medical Physics and Biomedical Engineering, UCL, London, WC1E 6BT, UK.
Shankar SS; Nikon X-Tek Systems Ltd, Tring, Herts, HP23 4JX, UK.
Vittoria FA; Nylers Ltd, Marshall House, Middleton Road, Morden, Surrey, SM4 6RW, UK.
Endrizzi M; Department of Medical Physics and Biomedical Engineering, UCL, London, WC1E 6BT, UK.
Arridge S; ENEA-Radiation Protection Institute, 4 Via Martiri di Monte Sole, 40129, Bologna, Italy.
Riley-Smith T; Department of Medical Physics and Biomedical Engineering, UCL, London, WC1E 6BT, UK.
Haig IG; Department of Computer Science, UCL, London, WC1E 6BT, UK.
Bate D; XPCI Technology Ltd, The Elms Courtyard, Bromesberrow, Ledbury, HR8 1RZ, UK.
Olivo A; Nikon X-Tek Systems Ltd, Tring, Herts, HP23 4JX, UK.

Nat Commun ; 13(1): 4651, 2022 09 09.

Article en En | MEDLINE | ID: mdl-36085141

Asunto(s)

Aprendizaje Automático; Redes Neurales de la Computación; Microscopía de Contraste de Fase; Radiografía; Rayos X

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

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