A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants

Survivors following very premature birth (i.e., ≤ 32 weeks gestational age) remain at high risk for neurodevelopmental impairments. Recent advances in deep learning techniques have made it possible to aid the early diagnosis and prognosis of neurodevelopmental deficits. Deep learning models typicall...

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Detalles Bibliográficos
Autores principales: He, Lili, Li, Hailong, Wang, Jinghua, Chen, Ming, Gozdas, Elveda, Dillman, Jonathan R., Parikh, Nehal A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492237/
https://www.ncbi.nlm.nih.gov/pubmed/32934282
http://dx.doi.org/10.1038/s41598-020-71914-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492237/
https://www.ncbi.nlm.nih.gov/pubmed/32934282
http://dx.doi.org/10.1038/s41598-020-71914-x

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