Original ArticleDevelopment and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images
Abbreviations and Acronyms
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Supplemental material available at www.aaojournal.org.
Financial Disclosure(s): The author(s) have made the following disclosure(s): J.S.: Employee – VUNO, Inc. (Seoul, Korea).
K.-H.J.: Employee and Equity owner – VUNO, Inc. (Seoul, Korea).
S.J.P.: Equity owner – VUNO, Inc. (Seoul, Korea).
Supported by the Intelligence Information Service Expansion Project, which is funded by National IT Industry Promotion Agency (grant no.: NIPA-C0202-17-1045) and the Small Grant for Exploratory Research of the National Research Foundation of Korea, which is funded by the Ministry of Science, Information and Communications Technology, and Future Planning (grant no.: NRF-2018R1D1A1A09083241). The sponsors or funding organizations had no role in the design or conduct of this research. The authors alone are responsible for the content and writing of the article.
HUMAN SUBJECTS: No human subjects were included in this study. Images were de-identified and written consent from patients was waived by the institutional review board due to the retrospective nature of the study. All research adhered to the tenets of the Declaration of Helsinki.
No animal subjects were included in this study.
Author Contributions:
Conception and design: Son, Shin, Jung, S. J. Park
Analysis and interpretation: Son, Shin, Jung, S. J. Park
Data collection: Son, Shin, Kim, Jung, K.H.Park, S. J. Park
Obtained funding: Son, Jung, S. J. Park
Overall responsibility: Son, Shin, Jung, S. J. Park
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Both authors contributed equally as first authors.