Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT

Haoran Zhang; Jinlong Liu; Danyang Su; Zhen Bai; Yan Wu; Yuanbo Ma; Qiuju Miao; Mingyue Wang; Xiaopeng Yang

doi:10.1371/journal.pone.0310938

Loading metrics

Open Access

Peer-reviewed

Research Article

Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT

Haoran Zhang,

Roles Methodology, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Jinlong Liu,

Roles Data curation, Formal analysis, Investigation, Software

Affiliation Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Danyang Su,

Roles Supervision, Visualization

Affiliation Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Zhen Bai,

Roles Formal analysis, Project administration

Affiliations Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China, Department of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Yan Wu,

Roles Investigation

Affiliations Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China, Department of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Yuanbo Ma,

Roles Data curation, Visualization

Affiliation Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Qiuju Miao,

Roles Methodology, Software

Affiliations Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China, Department of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Mingyue Wang,

Roles Investigation

Affiliation Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
⨯
Xiaopeng Yang

Roles Project administration, Supervision, Writing – review & editing

* E-mail: 13837141925@163.com

Affiliations Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China, Department of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China

https://orcid.org/0000-0002-2122-5490

⨯

Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT

Haoran Zhang,
Jinlong Liu,
Danyang Su,
Zhen Bai,
Yan Wu,
Yuanbo Ma,
Qiuju Miao,
Mingyue Wang,
Xiaopeng Yang

Published: February 13, 2025
https://doi.org/10.1371/journal.pone.0310938

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Fatty liver
Is the Subject Area "Fatty liver" applicable to this article?

Thanks for your feedback.
Liver and spleen scan
Is the Subject Area "Liver and spleen scan" applicable to this article?

Thanks for your feedback.
Fats
Is the Subject Area "Fats" applicable to this article?

Thanks for your feedback.
Computed axial tomography
Is the Subject Area "Computed axial tomography" applicable to this article?

Thanks for your feedback.
Machine learning algorithms
Is the Subject Area "Machine learning algorithms" applicable to this article?

Thanks for your feedback.
Diagnostic medicine
Is the Subject Area "Diagnostic medicine" applicable to this article?

Thanks for your feedback.
Steatosis
Is the Subject Area "Steatosis" applicable to this article?

Thanks for your feedback.
Liver diseases
Is the Subject Area "Liver diseases" applicable to this article?

Thanks for your feedback.