Enhancing liver fibrosis measurement: Deep learning and uncertainty analysis across multi-center cohorts.
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| Title: | Enhancing liver fibrosis measurement: Deep learning and uncertainty analysis across multi-center cohorts. |
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| Authors: | Wojciechowska M; Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Big Data Institute, University of Oxford, Oxford, UK., Malacrino S; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK., Windell D; Perspectum Ltd., Oxford, UK., Culver EL; Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Translational Gastroenterology and Liver Unit, John Radcliffe Hospital, Oxford, UK., Dyson JK; Translational and Clinical Research Institute, Newcastle University and Liver Unit, Freeman Hospital, Newcastle upon Tyne, UK., Rittscher J; Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Big Data Institute, University of Oxford, Oxford, UK.; Department of Engineering Science, University of Oxford, Oxford, UK. |
| Corporate Authors: | UKAIH consortium |
| Source: | Journal of pathology informatics [J Pathol Inform] 2026 Mar 20; Vol. 21, pp. 100653. Date of Electronic Publication: 2026 Mar 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2229-5089 |
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| DOI: | 10.1016/j.jpi.2026.100653 |
