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<i>In vivo</i> classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography
In vivo classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography
Summary
In vivo classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography is a scholarly article[1].
Key Facts
In vivo classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography'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). <i>In vivo</i> classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography. Retrieved May 24, 2026, from https://4ort.xyz/entity/i-in-vivo-i-classification-of-human-skin-burns-using-machine-learning-and-quantitative-features-captured-by-optical-cohe
MLA“<i>In vivo</i> classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/i-in-vivo-i-classification-of-human-skin-burns-using-machine-learning-and-quantitative-features-captured-by-optical-cohe.
BibTeX@misc{4ortxyz_i-in-vivo-i-classification-of-human-skin-burns-using-machine-learning-and-quantitative-features-captured-by-optical-cohe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{<i>In vivo</i> classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography}}, year = {2026}, url = {https://4ort.xyz/entity/i-in-vivo-i-classification-of-human-skin-burns-using-machine-learning-and-quantitative-features-captured-by-optical-cohe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): <i>In vivo</i> classification of human skin burns using machine learning and quantitative features captured by optical coherence tomography — https://4ort.xyz/entity/i-in-vivo-i-classification-of-human-skin-burns-using-machine-learning-and-quantitative-features-captured-by-optical-cohe (retrieved 2026-05-24)
