Home › Entities › academia › Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images

Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images

Research article (Journal of Cosmetic and Laser Therapy, 2016) · cited 23× · AI/ML
academia openalex:W2322084606
Press Enter · cited answer in seconds

Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images

Summary

Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images is a scholarly article[1].

Key Facts

  • Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-facial-skin-erythema-more-precisely-by-analyzing-color-channels-of-the-visia-red-images
MLA “Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-facial-skin-erythema-more-precisely-by-analyzing-color-channels-of-the-visia-red-images.
BibTeX @misc{4ortxyz_quantifying-facial-skin-erythema-more-precisely-by-analyzing-color-channels-of-the-visia-red-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-facial-skin-erythema-more-precisely-by-analyzing-color-channels-of-the-visia-red-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images — https://4ort.xyz/entity/quantifying-facial-skin-erythema-more-precisely-by-analyzing-color-channels-of-the-visia-red-images (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/quantifying-facial-skin-erythema-more-precisely-by-analyzing-color-channels-of-the-visia-red-images · Last refreshed: