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Convolutional neural network classification of ultrasound parametric images based on echo-envelope statistics for the quantitative diagnosis of liver steatosis

Crossref DOI link: https://doi.org/10.1007/s10396-024-01509-w

Published Online: 2024-11-23

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Isshiki, Akiho

Fujiwara, Kisako

Kondo, Takayuki

Yoshida, Kenji

Yamaguchi, Tadashi

Hirata, Shinnosuke https://orcid.org/0000-0001-6940-3287
Funding

Funding for this research was provided by:

Takahashi Industrial and Economic Research Foundation (Takahashi Industrial and Economic Research Foundation)

Japan Society for the Promotion of Science (Core-to-Core Program (grant number: JPJSCCA20240003))
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Text and Data Mining valid from 2024-11-23

Version of Record valid from 2024-11-23
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Article History

Received: 12 April 2024

Accepted: 6 October 2024

First Online: 23 November 2024

Declarations

:

: The authors have no conflicts of interest to declare regarding the publication of this paper.

: This study was approved by the Research Ethics Committee of Graduate School of Medicine, Chiba University (M10269). The participants provided informed consent and voluntarily and freely chose to participate in the study.

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