Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness

A small dataset commonly affects generalization, robustness, and overall performance of deep neural networks (DNNs) in medical imaging research. Since gathering large clinical databases is always difficult, we proposed an analytical method for producing a large realistic/diverse dataset. Clinical br...

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Detalles Bibliográficos
Autores principales: Sanaat, Amirhossein, Shiri, Isaac, Ferdowsi, Sohrab, Arabi, Hossein, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156620/
https://www.ncbi.nlm.nih.gov/pubmed/35137305
http://dx.doi.org/10.1007/s10278-021-00536-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156620/
https://www.ncbi.nlm.nih.gov/pubmed/35137305
http://dx.doi.org/10.1007/s10278-021-00536-0

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