Fully automated accurate patient positioning in computed tomography using anterior-posterior localizer images and a deep neural network: a dual-center study.

Salimi, Yazdan; Shiri, Isaac; Akavanallaf, Azadeh; Mansouri, Zahra; Arabi, Hossein; Zaidi, Habib

Salimi, Yazdan; Shiri, Isaac; Akavanallaf, Azadeh; Mansouri, Zahra; Arabi, Hossein; Zaidi, Habib.

Afiliación

Salimi Y; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Shiri I; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Akavanallaf A; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Mansouri Z; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Arabi H; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Zaidi H; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.

Eur Radiol ; 33(5): 3243-3252, 2023 May.

Article en En | MEDLINE | ID: mdl-36703015

Asunto(s)

Redes Neurales de la Computación; Tomografía Computarizada por Rayos X; Humanos; Tomografía Computarizada por Rayos X/métodos; Imagenología Tridimensional; Posicionamiento del Paciente/métodos; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

CT localizer; Computed tomography; Deep learning; Patient positioning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Redes Neurales de la Computación Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Suiza

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