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. 2023 Feb 15;14:1126780. doi: 10.3389/fphys.2023.1126780

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Copyright © 2023 Pan, Liu, Cai, Yang, Zhang, Long, Zhao, Yu, Zeng, Duan, Xiao, Li, Cai, Yang and Tan.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Proposed Framework to classify fundus images. A domain specific image is collected from fundus camera; then, data is split to train and test set. Inception V3 and VGG-16 are trained according to the dataset to classify fundus images.