Home ›
Entities
› academia
› NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans
NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans
Research article (Acta Neurochirurgica, 2024) · cited 20× · AI/ML
NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans
Summary
NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans is a scholarly article[1].
Key Facts
NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans'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). NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans. Retrieved May 24, 2026, from https://4ort.xyz/entity/nnu-net-versus-mesh-growing-algorithm-as-a-tool-for-the-robust-and-timely-segmentation-of-neurosurgical-3d-images-in-con
MLA“NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nnu-net-versus-mesh-growing-algorithm-as-a-tool-for-the-robust-and-timely-segmentation-of-neurosurgical-3d-images-in-con.
BibTeX@misc{4ortxyz_nnu-net-versus-mesh-growing-algorithm-as-a-tool-for-the-robust-and-timely-segmentation-of-neurosurgical-3d-images-in-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans}}, year = {2026}, url = {https://4ort.xyz/entity/nnu-net-versus-mesh-growing-algorithm-as-a-tool-for-the-robust-and-timely-segmentation-of-neurosurgical-3d-images-in-con}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans — https://4ort.xyz/entity/nnu-net-versus-mesh-growing-algorithm-as-a-tool-for-the-robust-and-timely-segmentation-of-neurosurgical-3d-images-in-con (retrieved 2026-05-24)
