Deep learning segmentation of the choroid plexus from structural magnetic resonance imaging (MRI): validation and normative ranges across the adult lifespan.

Eisma, Jarrod J; McKnight, Colin D; Hett, Kilian; Elenberger, Jason; Song, Alexander K; Considine, Ciaran; Claassen, Daniel O; Donahue, Manus J

Eisma, Jarrod J; McKnight, Colin D; Hett, Kilian; Elenberger, Jason; Song, Alexander K; Considine, Ciaran; Claassen, Daniel O; Donahue, Manus J.

Afiliación

Eisma JJ; Vanderbilt University Medical Center.
McKnight CD; Vanderbilt University Medical Center.
Hett K; Vanderbilt University Medical Center.
Elenberger J; Vanderbilt University Medical Center.
Song AK; Vanderbilt University Medical Center.
Considine C; Vanderbilt University Medical Center.
Claassen DO; Vanderbilt University Medical Center.
Donahue MJ; Vanderbilt University Medical Center.

Res Sq ; 2023 Sep 13.

Article en En | MEDLINE | ID: mdl-37790534

Palabras clave

cerebrospinal fluid; choroid plexus; deep learning; glymphatic; neurofluids; segmentation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article

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