Machine Learning Models on ADC Features to Assess Brain Changes of Children With Pierre Robin Sequence

In order to evaluate brain changes in young children with Pierre Robin sequence (PRs) using machine learning based on apparent diffusion coefficient (ADC) features, we retrospectively enrolled a total of 60 cases (42 in the training dataset and 18 in the testing dataset) which included 30 PRs and 30...

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Detalles Bibliográficos
Autores principales: Wang, Ying, Yang, Feng, Zhu, Meijiao, Yang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969993/
https://www.ncbi.nlm.nih.gov/pubmed/33746868
http://dx.doi.org/10.3389/fneur.2021.580440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969993/
https://www.ncbi.nlm.nih.gov/pubmed/33746868
http://dx.doi.org/10.3389/fneur.2021.580440

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