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Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences
Research article (Applied Sciences, 2022) · cited 15× · AI/ML
Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences
Summary
Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences is a scholarly article[1].
Key Facts
Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences's instance of is recorded as scholarly article[2].
References
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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). Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/im2mesh-a-python-library-to-reconstruct-3d-meshes-from-scattered-data-and-2d-segmentations-application-to-patient-specif
MLA“Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/im2mesh-a-python-library-to-reconstruct-3d-meshes-from-scattered-data-and-2d-segmentations-application-to-patient-specif.
BibTeX@misc{4ortxyz_im2mesh-a-python-library-to-reconstruct-3d-meshes-from-scattered-data-and-2d-segmentations-application-to-patient-specif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences}}, year = {2026}, url = {https://4ort.xyz/entity/im2mesh-a-python-library-to-reconstruct-3d-meshes-from-scattered-data-and-2d-segmentations-application-to-patient-specif}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences — https://4ort.xyz/entity/im2mesh-a-python-library-to-reconstruct-3d-meshes-from-scattered-data-and-2d-segmentations-application-to-patient-specif (retrieved 2026-05-24)
