CAN3D: Fast 3D medical image segmentation via compact context aggregation

Research article (Medical Image Analysis, 2022) · cited 16× · AI/ML
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CAN3D: Fast 3D medical image segmentation via compact context aggregation

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CAN3D: Fast 3D medical image segmentation via compact context aggregation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CAN3D: Fast 3D medical image segmentation via compact context aggregation. Retrieved May 24, 2026, from https://4ort.xyz/entity/can3d-fast-3d-medical-image-segmentation-via-compact-context-aggregation
MLA “CAN3D: Fast 3D medical image segmentation via compact context aggregation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/can3d-fast-3d-medical-image-segmentation-via-compact-context-aggregation.
BibTeX @misc{4ortxyz_can3d-fast-3d-medical-image-segmentation-via-compact-context-aggregation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CAN3D: Fast 3D medical image segmentation via compact context aggregation}}, year = {2026}, url = {https://4ort.xyz/entity/can3d-fast-3d-medical-image-segmentation-via-compact-context-aggregation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CAN3D: Fast 3D medical image segmentation via compact context aggregation — https://4ort.xyz/entity/can3d-fast-3d-medical-image-segmentation-via-compact-context-aggregation (retrieved 2026-05-24)

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