Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets

CNNs and other deep learners are now state-of-the-art in medical imaging research. However, the small sample size of many medical data sets dampens performance and results in overfitting. In some medical areas, it is simply too labor-intensive and expensive to amass images numbering in the hundreds...

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Detalles Bibliográficos
Autores principales: Nanni, Loris, Brahnam, Sheryl, Paci, Michelangelo, Ghidoni, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415767/
https://www.ncbi.nlm.nih.gov/pubmed/36015898
http://dx.doi.org/10.3390/s22166129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415767/
https://www.ncbi.nlm.nih.gov/pubmed/36015898
http://dx.doi.org/10.3390/s22166129

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