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

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

Abstract Artificial intelligence (AI) based on deep learning has shown excellent diagnostic performance in detecting various diseases with good-quality clinical images. Recently, AI diagnostic systems developed from ultra-widefield fundus (UWF) images have become popular standard-of-care tools in sc...

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Bibliographic Details
Main Authors: Zhongwen Li, Chong Guo, Danyao Nie, Duoru Lin, Yi Zhu, Chuan Chen, Lanqin Zhao, Xiaohang Wu, Meimei Dongye, Fabao Xu, Chenjin Jin, Ping Zhang, Yu Han, Pisong Yan, Haotian Lin
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-020-00350-y

Internet

https://doi.org/10.1038/s41746-020-00350-y

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