Home ›
Entities
› academia
› A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images
Research article (IEEE Transactions on Medical Imaging, 2020) · cited 60× · AI/ML
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images
Summary
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images is a scholarly article[1].
Key Facts
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-voxel-based-fully-convolution-network-and-continuous-max-flow-for-carotid-vessel-wall-volume-segmentation-from-3d-ultr
MLA“A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-voxel-based-fully-convolution-network-and-continuous-max-flow-for-carotid-vessel-wall-volume-segmentation-from-3d-ultr.
BibTeX@misc{4ortxyz_a-voxel-based-fully-convolution-network-and-continuous-max-flow-for-carotid-vessel-wall-volume-segmentation-from-3d-ultr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images}}, year = {2026}, url = {https://4ort.xyz/entity/a-voxel-based-fully-convolution-network-and-continuous-max-flow-for-carotid-vessel-wall-volume-segmentation-from-3d-ultr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images — https://4ort.xyz/entity/a-voxel-based-fully-convolution-network-and-continuous-max-flow-for-carotid-vessel-wall-volume-segmentation-from-3d-ultr (retrieved 2026-05-24)
