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DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries
Research article (Sensors, 2024) · cited 16× · AI/ML
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries
Summary
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries is a scholarly article[1].
Key Facts
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries. Retrieved May 24, 2026, from https://4ort.xyz/entity/demambanet-deformable-convolution-and-mamba-integration-network-for-high-precision-segmentation-of-ambiguously-defined-d
MLA“DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/demambanet-deformable-convolution-and-mamba-integration-network-for-high-precision-segmentation-of-ambiguously-defined-d.
BibTeX@misc{4ortxyz_demambanet-deformable-convolution-and-mamba-integration-network-for-high-precision-segmentation-of-ambiguously-defined-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries}}, year = {2026}, url = {https://4ort.xyz/entity/demambanet-deformable-convolution-and-mamba-integration-network-for-high-precision-segmentation-of-ambiguously-defined-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries — https://4ort.xyz/entity/demambanet-deformable-convolution-and-mamba-integration-network-for-high-precision-segmentation-of-ambiguously-defined-d (retrieved 2026-05-24)
