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Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study

Research article (Sensors, 2024) · cited 12× · AI/ML
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Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study

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Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study is a scholarly article[1].

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  • Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/ultrasonic-assessment-of-liver-fibrosis-using-one-dimensional-convolutional-neural-networks-based-on-frequency-spectra-o
MLA “Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ultrasonic-assessment-of-liver-fibrosis-using-one-dimensional-convolutional-neural-networks-based-on-frequency-spectra-o.
BibTeX @misc{4ortxyz_ultrasonic-assessment-of-liver-fibrosis-using-one-dimensional-convolutional-neural-networks-based-on-frequency-spectra-o_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study}}, year = {2026}, url = {https://4ort.xyz/entity/ultrasonic-assessment-of-liver-fibrosis-using-one-dimensional-convolutional-neural-networks-based-on-frequency-spectra-o}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study — https://4ort.xyz/entity/ultrasonic-assessment-of-liver-fibrosis-using-one-dimensional-convolutional-neural-networks-based-on-frequency-spectra-o (retrieved 2026-05-24)

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