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

BACKGROUND: With the rise in importance of personalized medicine and deep learning, we combine the two to create personalized neural networks. The aim of the study is to show a proof of concept that data from just one patient can be used to train deep neural networks to detect tumor progression in l...

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Detalles Bibliográficos
Autores principales: Strack, Christian, Pomykala, Kelsey L., Schlemmer, Heinz-Peter, Egger, Jan, Kleesiek, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619304/
https://www.ncbi.nlm.nih.gov/pubmed/37907876
http://dx.doi.org/10.1186/s12880-023-01128-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619304/
https://www.ncbi.nlm.nih.gov/pubmed/37907876
http://dx.doi.org/10.1186/s12880-023-01128-w

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