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A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training
BACKGROUND: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system. METHODS: A 5-step retinal fundus image reading tool was de...
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| Izdano u: | J Korean Med Sci |
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| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
The Korean Academy of Medical Sciences
2018
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6193885/ https://ncbi.nlm.nih.gov/pubmed/30344460 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3346/jkms.2018.33.e239 |
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