Home ›
Entities
› academia
› Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts
Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts
Research article (Polymer Testing, 2022) · cited 33× · AI/ML
Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts
Summary
Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts is a scholarly article[1].
Key Facts
Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts'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). Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-conventional-and-deep-learning-segmentation-for-fast-x-ray-ct-porosity-measurements-of-polymer-laser-sintered
MLA“Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-conventional-and-deep-learning-segmentation-for-fast-x-ray-ct-porosity-measurements-of-polymer-laser-sintered.
BibTeX@misc{4ortxyz_evaluating-conventional-and-deep-learning-segmentation-for-fast-x-ray-ct-porosity-measurements-of-polymer-laser-sintered_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-conventional-and-deep-learning-segmentation-for-fast-x-ray-ct-porosity-measurements-of-polymer-laser-sintered}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating conventional and deep learning segmentation for fast X-ray CT porosity measurements of polymer laser sintered AM parts — https://4ort.xyz/entity/evaluating-conventional-and-deep-learning-segmentation-for-fast-x-ray-ct-porosity-measurements-of-polymer-laser-sintered (retrieved 2026-05-24)
