Deep learning-based method for grading histopathological liver fibrosis in rodent models of metabolic dysfunction-associated steatohepatitis
This study highlights that DL models for scoring liver fibrosis can support expert pathologists in staging liver fibrosis in preclinical animal studies.
Authors
- Hyo‐Jeong Han
- Yiyu Hong (ORCID: https://orcid.org/0000-0001-6138-7083)
- Yerin Lee (ORCID: https://orcid.org/0000-0001-5038-0548)
- Insuk Sohn (ORCID: https://orcid.org/0000-0003-2126-9378)
- Jae‐Ik Shin
- Woo‐Chan Son (ORCID: https://orcid.org/0000-0002-4052-8745)
- Da Som Jeong
- Soo Min Ko (ORCID: https://orcid.org/0000-0001-7903-5713)
- Ji‐Young Lee (ORCID: https://orcid.org/0000-0002-3301-6434)
- Hyunji Kim (ORCID: https://orcid.org/0000-0002-9216-9182)
Institutions
- Ulsan College (KR)
- Yonsei University (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
- Infrafrontier (DE)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-07-04
- DOI
- https://doi.org/10.3389/fmed.2025.1629036
- Citations
- 1
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Korea Health Industry Development Institute