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A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B

Research article (European Radiology, 2023) · cited 10× · AI/ML
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A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B

Summary

A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B is a scholarly article[1].

Key Facts

  • A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-model-with-data-integration-of-ultrasound-contrast-enhanced-micro-flow-cines-b-mode-images-and-clinical-
MLA “A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-model-with-data-integration-of-ultrasound-contrast-enhanced-micro-flow-cines-b-mode-images-and-clinical-.
BibTeX @misc{4ortxyz_a-deep-learning-model-with-data-integration-of-ultrasound-contrast-enhanced-micro-flow-cines-b-mode-images-and-clinical-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-model-with-data-integration-of-ultrasound-contrast-enhanced-micro-flow-cines-b-mode-images-and-clinical-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B — https://4ort.xyz/entity/a-deep-learning-model-with-data-integration-of-ultrasound-contrast-enhanced-micro-flow-cines-b-mode-images-and-clinical- (retrieved 2026-05-24)

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