"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient.

Strack, Christian; Pomykala, Kelsey L; Schlemmer, Heinz-Peter; Egger, Jan; Kleesiek, Jens

Strack, Christian; Pomykala, Kelsey L; Schlemmer, Heinz-Peter; Egger, Jan; Kleesiek, Jens.

Strack C; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Girardetstraße 2, 45131, Essen, Germany. c.strack@dkfz-heidelberg.de.
Pomykala KL; Division of Radiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. c.strack@dkfz-heidelberg.de.
Schlemmer HP; Medical Faculty Heidelberg, Heidelberg University, 69120, Heidelberg, Germany. c.strack@dkfz-heidelberg.de.
Egger J; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Girardetstraße 2, 45131, Essen, Germany.
Kleesiek J; Division of Radiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.

BMC Med Imaging ; 23(1): 174, 2023 10 31.

Article en En | MEDLINE | ID: mdl-37907876

Asunto(s)

Glioblastoma; Redes Neurales de la Computación; Humanos; Imagen por Resonancia Magnética; Encéfalo; Glioblastoma/diagnóstico por imagen; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

Brain Tumor; Longitudinal; MRI; Machine learning; Neural networks; Personalized; Privacy-safe; Unsupervised; Wasserstein-GAN; Zero-training data

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Glioblastoma Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

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