R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation

Research article (Security and Communication Networks, 2021) · cited 129× · AI/ML
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R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation

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R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/r2au-net-attention-recurrent-residual-convolutional-neural-network-for-multimodal-medical-image-segmentation
MLA “R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/r2au-net-attention-recurrent-residual-convolutional-neural-network-for-multimodal-medical-image-segmentation.
BibTeX @misc{4ortxyz_r2au-net-attention-recurrent-residual-convolutional-neural-network-for-multimodal-medical-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/r2au-net-attention-recurrent-residual-convolutional-neural-network-for-multimodal-medical-image-segmentation}, note = {Accessed: 2026-05-24}}
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