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). SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/sam-med3d-a-vision-foundation-model-for-general-purpose-segmentation-on-volumetric-medical-images
MLA“SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sam-med3d-a-vision-foundation-model-for-general-purpose-segmentation-on-volumetric-medical-images.
BibTeX@misc{4ortxyz_sam-med3d-a-vision-foundation-model-for-general-purpose-segmentation-on-volumetric-medical-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images}}, year = {2026}, url = {https://4ort.xyz/entity/sam-med3d-a-vision-foundation-model-for-general-purpose-segmentation-on-volumetric-medical-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images — https://4ort.xyz/entity/sam-med3d-a-vision-foundation-model-for-general-purpose-segmentation-on-volumetric-medical-images (retrieved 2026-05-24)
