A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation
Summary
A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation is a scholarly article[1].
Key Facts
A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-dataset-of-laryngeal-endoscopic-images-with-comparative-study-on-convolution-neural-network-based-semantic-segmentatio
MLA“A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-dataset-of-laryngeal-endoscopic-images-with-comparative-study-on-convolution-neural-network-based-semantic-segmentatio.
BibTeX@misc{4ortxyz_a-dataset-of-laryngeal-endoscopic-images-with-comparative-study-on-convolution-neural-network-based-semantic-segmentatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/a-dataset-of-laryngeal-endoscopic-images-with-comparative-study-on-convolution-neural-network-based-semantic-segmentatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation — https://4ort.xyz/entity/a-dataset-of-laryngeal-endoscopic-images-with-comparative-study-on-convolution-neural-network-based-semantic-segmentatio (retrieved 2026-05-24)
