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. 2022 May 5;16:859973. doi: 10.3389/fninf.2022.859973

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Copyright © 2022 Liu, Wang, Chang, Zhang, Liang and Zhang.

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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Visualization of the output layer bottleneck in the local branch of LLRHNet. (A) The input image. (B) The visualization of the local-feature. (C) The visualization of the global-local feature. (D) The ground truth.