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Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach: publisher’s note

Open Access Open Access

Abstract

This publisher’s notes amends the funding of [Biomed. Opt. Express 12, 4713 (2021) [CrossRef]  ].

© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

In [1], grant numbers were erroneously added to the Funding section. The paper was corrected online on 26 July 2021.

References

1. J. Wang, W. Li, Y. Chen, W. Fang, W. Kong, Y. He, and G. Shi, “Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach,” Biomed. Opt. Express 12(8), 4713–4729 (2021). [CrossRef]  

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