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Deep learning from "passive feeding" to "selective eating" of real-world data

Medicine and Health

Deep learning from "passive feeding" to "selective eating" of real-world data

Z. Li, C. Guo, et al.

Discover how a groundbreaking deep learning-based image filtering system (DLIFS) enhances AI diagnostic performance for ocular fundus diseases. This innovative approach, developed by Zhongwen Li and colleagues, filters out poor-quality images, ensuring more accurate diagnostics in real-world applications. Find out how this research can transform AI in healthcare!

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