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. 2026 Feb 10;17:1747657. doi: 10.3389/fpls.2026.1747657

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Copyright © 2026 Wang, Cao, Luo, Huang, Nie, Zhang, Lu, Cui, An and She.

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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Diagram of a neural network architecture using convolutional layers, ReLU activations, a squeeze-and-excitation (SE) block, max pooling, and up-convolutions. Blue arrows indicate convolution with ReLU, yellow arrows indicate SE blocks, red arrows for max pooling, and green arrows for up-convolutions. The SE block processes the channel-wise features, enhancing network performance. — SE-UNet network.