A comparative study on the knowledge levels of artificial intelligence programs in diagnosing ophthalmic pathologies and intraocular tumors evaluated their superiority and potential utility
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology
Link
https://link.springer.com/content/pdf/10.1007/s10792-023-02893-x.pdf
Reference18 articles.
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3. Mikolov T, Deoras A, Povey D, et al (2011) Strategies for training large scale neural network language models. In: 2011 IEEE workshop on automatic speech recognition and understanding, ASRU 2011, Proceedings 196–201. https://doi.org/10.1109/ASRU.2011.6163930
4. Alqahtani H, Kavakli-Thorne M, Kumar G (2021) Applications of generative adversarial networks (GANs): an updated review. Arch Comput Methods Eng 28:525–552. https://doi.org/10.1007/S11831-019-09388-Y/METRICS
5. Ting DSW, Pasquale LR, Peng L et al (2019) Artificial intelligence and deep learning in ophthalmology. Br J Ophthalmol 103:167–175. https://doi.org/10.1136/BJOPHTHALMOL-2018-313173
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