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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...

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Pubblicato in:Med Biol Eng Comput
Autori principali: Yoo, Tae Keun, Choi, Joon Yul, Kim, Hong Kyu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer Berlin Heidelberg 2021
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7829497/
https://ncbi.nlm.nih.gov/pubmed/33492598
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11517-021-02321-1
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