Home ›
Entities
› academia
› A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions
A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions
Research article (Journal of Instrumentation, 2016) · cited 26× · AI/ML
A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions
Summary
A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions is a scholarly article[1].
Key Facts
A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions'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 fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fully-automatic-threshold-based-segmentation-method-for-the-estimation-of-the-metabolic-tumor-volume-from-pet-images-v
MLA“A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fully-automatic-threshold-based-segmentation-method-for-the-estimation-of-the-metabolic-tumor-volume-from-pet-images-v.
BibTeX@misc{4ortxyz_a-fully-automatic-threshold-based-segmentation-method-for-the-estimation-of-the-metabolic-tumor-volume-from-pet-images-v_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions}}, year = {2026}, url = {https://4ort.xyz/entity/a-fully-automatic-threshold-based-segmentation-method-for-the-estimation-of-the-metabolic-tumor-volume-from-pet-images-v}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A fully automatic, threshold-based segmentation method for the estimation of the Metabolic Tumor Volume from PET images: validation on 3D printed anthropomorphic oncological lesions — https://4ort.xyz/entity/a-fully-automatic-threshold-based-segmentation-method-for-the-estimation-of-the-metabolic-tumor-volume-from-pet-images-v (retrieved 2026-05-24)
