Data annotators: The unacclaimed heroes of artificial intelligence revolution in ophthalmology
- PMID: 35502094
- PMCID: PMC9333041
- DOI: 10.4103/ijo.IJO_424_22
Data annotators: The unacclaimed heroes of artificial intelligence revolution in ophthalmology
Conflict of interest statement
None
Comment on
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Modeling and mitigating human annotations to design processing systems with human-in-the-loop machine learning for glaucomatous defects: The future in artificial intelligence.Indian J Ophthalmol. 2021 Oct;69(10):2892-2894. doi: 10.4103/ijo.IJO_1820_21. Indian J Ophthalmol. 2021. PMID: 34571672 Free PMC article. No abstract available.
References
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- Ramesh PV, Ramesh SV, Aji K, Ray P, Tamilselvan S, Parthasarathi S, et al. Modeling and mitigating human annotations to design processing systems with human-in-the-loop machine learning for glaucomatous defects: The future in artificial intelligence. Indian J Ophthalmol. 2021;69:2892–94. - PMC - PubMed
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- Meskó B, et al. Data annotators are the unsung heroes of medicine's artificial intelligence revolution. J Med Artif Intell. 2020;3:1.
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