Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11517-021-02321-1.pdf
Reference54 articles.
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3. Abràmoff MD, Lou Y, Erginay A, Clarida W, Amelon R, Folk JC, Niemeijer M (2016) Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning. Invest Ophthalmol Vis Sci 57:5200–5206. https://doi.org/10.1167/iovs.16-19964
4. Shah M, Ledo AR, Rittscher J (2020) Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning. Acta Ophthalmol (Copenh) n/a. https://doi.org/10.1111/aos.14353
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