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Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification
Deep learning (DL) has been successfully applied to the diagnosis of ophthalmic diseases. However, rare diseases are commonly neglected due to insufficient data. Here, we demonstrate that few-shot learning (FSL) using a generative adversarial network (GAN) can improve the applicability of DL in the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829497/ https://www.ncbi.nlm.nih.gov/pubmed/33492598 http://dx.doi.org/10.1007/s11517-021-02321-1 |