The neural network for measuring IOP by Maklakov method: comparison between neuronal net and experts
- DOI
- 10.25276/0235-4160-2022-4s-21-28
- Published
- 2023-02-17
- Container
- Fyodorov journal of ophthalmic surgery
- Publisher
- Mediprint
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.25276/0235-4160-2022-4s-21-28,
title = {The neural network for measuring IOP by Maklakov method: comparison between neuronal net and experts},
author = {Unknown and A.A. Rascheskov and I.A. Frolychev and Unknown and Unknown and N.A. Pozdeyeva and Unknown and Unknown},
year = {2023},
journal = {Fyodorov journal of ophthalmic surgery},
doi = {10.25276/0235-4160-2022-4s-21-28},
url = {https://doi.org/10.25276/0235-4160-2022-4s-21-28}
}RIS
TY - JOUR TI - The neural network for measuring IOP by Maklakov method: comparison between neuronal net and experts AU - Unknown AU - A.A. Rascheskov AU - I.A. Frolychev AU - Unknown AU - Unknown AU - N.A. Pozdeyeva AU - Unknown AU - Unknown PY - 2023 JO - Fyodorov journal of ophthalmic surgery DO - 10.25276/0235-4160-2022-4s-21-28 UR - https://doi.org/10.25276/0235-4160-2022-4s-21-28 ER -
APA
Unknown, Rascheskov, A., Frolychev, I., Unknown, Unknown, Pozdeyeva, N., Unknown, & Unknown (2023). The neural network for measuring IOP by Maklakov method: comparison between neuronal net and experts. Fyodorov journal of ophthalmic surgery. https://doi.org/10.25276/0235-4160-2022-4s-21-28
Source records
- crossref · retrieved 2026-09-26T16:00:13.216Z