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“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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| 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 |