Artificial intelligence‑based quantitative analysis of hepatic fibrosis in carbon tetrachloride-induced mouse model of metabolic dysfunction-associated steatohepatitis

Authors

Tae‐Sung Koo (ORCID: https://orcid.org/0000-0001-8046-6836)
Jae-Woo Cho (ORCID: https://orcid.org/0000-0003-0072-7827)
Mi Yang (ORCID: https://orcid.org/0000-0003-2015-1669)
Ji‐Seok Han
Gyeongjin Han
Myung Ae Bae (ORCID: https://orcid.org/0000-0002-2997-5018)
Won Hoon Jung (ORCID: https://orcid.org/0009-0008-4711-6453)
Jinhee Lee (ORCID: https://orcid.org/0009-0007-7817-7614)

Institutions

Chungnam National University (KR)
Korea Institute of Toxicology (KR)
Korea Research Institute of Chemical Technology (KR)

Publication Details

Journal: Toxicological Research
Published: 2025-11-24
DOI: https://doi.org/10.1007/s43188-025-00326-8
Primary Topic: Liver Disease Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Korea Institute of Toxicology

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article

Artificial intelligence‑based quantitative analysis of hepatic fibrosis in carbon tetrachloride-induced mouse model of metabolic dysfunction-associated steatohepatitis

Tae‐Sung Koo, Jae-Woo Cho, Mi Yang, Ji‐Seok Han et al.

Nov 24, 2025

Toxicological Research

Liver Disease Diagnosis and Treatment

article

Artificial intelligence‑based quantitative analysis of hepatic fibrosis in carbon tetrachloride-induced mouse model of metabolic dysfunction-associated steatohepatitis

Tae‐Sung Koo, Jae-Woo Cho, Mi Yang, Ji‐Seok Han, Gyeongjin Han, Myung Ae Bae, Won Hoon Jung, Jinhee Lee

November 24, 2025article en

Abstract

No abstract available for this paper.

Toxicological ResearchVol. 42(2)

Chungnam National University (KR), Korea Institute of Toxicology (KR), Korea Research Institute of Chemical Technology (KR)

Korea Institute of Toxicology

Openalex Percentile: Top 53%

Liver Disease Diagnosis and Treatment

DOI Open Access PDF OpenAlex

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