RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss

Research article (Computers in Biology and Medicine, 2023) · cited 11× · AI/ML
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RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss

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RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/rbs-net-hippocampus-segmentation-using-multi-layer-feature-learning-with-the-region-boundary-and-structure-loss
MLA “RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rbs-net-hippocampus-segmentation-using-multi-layer-feature-learning-with-the-region-boundary-and-structure-loss.
BibTeX @misc{4ortxyz_rbs-net-hippocampus-segmentation-using-multi-layer-feature-learning-with-the-region-boundary-and-structure-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss}}, year = {2026}, url = {https://4ort.xyz/entity/rbs-net-hippocampus-segmentation-using-multi-layer-feature-learning-with-the-region-boundary-and-structure-loss}, note = {Accessed: 2026-05-24}}
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