Home ›
Entities
› academia
› Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks
Research article (2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020) · cited 11× · AI/ML
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks
Summary
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks is a scholarly article[1].
Key Facts
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks'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). Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-of-ultrasound-images-of-gastrocnemius-medialis-with-different-echogenicity-levels-using-convoluti
MLA“Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-of-ultrasound-images-of-gastrocnemius-medialis-with-different-echogenicity-levels-using-convoluti.
BibTeX@misc{4ortxyz_automatic-segmentation-of-ultrasound-images-of-gastrocnemius-medialis-with-different-echogenicity-levels-using-convoluti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-of-ultrasound-images-of-gastrocnemius-medialis-with-different-echogenicity-levels-using-convoluti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks — https://4ort.xyz/entity/automatic-segmentation-of-ultrasound-images-of-gastrocnemius-medialis-with-different-echogenicity-levels-using-convoluti (retrieved 2026-05-24)
