A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing
Summary
A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing is a scholarly article[1].
Key Facts
A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-preliminary-deep-learning-study-on-automatic-segmentation-of-contrast-enhanced-bolus-in-videofluorography-of-swallowin
MLA“A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-preliminary-deep-learning-study-on-automatic-segmentation-of-contrast-enhanced-bolus-in-videofluorography-of-swallowin.
BibTeX@misc{4ortxyz_a-preliminary-deep-learning-study-on-automatic-segmentation-of-contrast-enhanced-bolus-in-videofluorography-of-swallowin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing}}, year = {2026}, url = {https://4ort.xyz/entity/a-preliminary-deep-learning-study-on-automatic-segmentation-of-contrast-enhanced-bolus-in-videofluorography-of-swallowin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing — https://4ort.xyz/entity/a-preliminary-deep-learning-study-on-automatic-segmentation-of-contrast-enhanced-bolus-in-videofluorography-of-swallowin (retrieved 2026-05-24)
