Home ›
Entities
› academia
› Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study
Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study
Research article (IEEE Access, 2021) · cited 11× · AI/ML
Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study
Summary
Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study is a scholarly article[1].
Key Facts
Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study'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). Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnosis-of-significant-liver-fibrosis-by-using-a-dcnn-model-with-fusion-of-features-from-us-b-mode-image-and-nakagami-
MLA“Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnosis-of-significant-liver-fibrosis-by-using-a-dcnn-model-with-fusion-of-features-from-us-b-mode-image-and-nakagami-.
BibTeX@misc{4ortxyz_diagnosis-of-significant-liver-fibrosis-by-using-a-dcnn-model-with-fusion-of-features-from-us-b-mode-image-and-nakagami-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study}}, year = {2026}, url = {https://4ort.xyz/entity/diagnosis-of-significant-liver-fibrosis-by-using-a-dcnn-model-with-fusion-of-features-from-us-b-mode-image-and-nakagami-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study — https://4ort.xyz/entity/diagnosis-of-significant-liver-fibrosis-by-using-a-dcnn-model-with-fusion-of-features-from-us-b-mode-image-and-nakagami- (retrieved 2026-05-24)