Magnetic Resonance Imaging Liver Segmentation Protocol Enables More Consistent and Robust Annotations, Paving the Way for Advanced Computer-Assisted Analysis
Establishing a liver MRI segmentation protocol improves annotation robustness and reproducibility, paving the way for advanced computer-assisted analysis. Moreover, segmentation protocols could be extended to other organs and lesions and incorporated into guidelines, thereby expanding the potential applications of AI in daily clinical practice.
Authors
- Mario Jreige (ORCID: https://orcid.org/0000-0003-3918-150X)
- Naïk Vietti Violi (ORCID: https://orcid.org/0000-0002-1412-857X)
- Raphaël Girardet (ORCID: https://orcid.org/0000-0002-6843-4169)
- Jonas Richiardi (ORCID: https://orcid.org/0000-0002-6975-5634)
- Clarisse Dromain (ORCID: https://orcid.org/0000-0002-2999-1958)
- Killian Monnin
- Patrick Jeltsch
- Lucia Fernandes-Mendes
Institutions
- North Metropolitan Health Service (AU)
- South Metropolitan Health Service (AU)
- University of Lausanne (CH)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-12-11
- DOI
- https://doi.org/10.3390/diagnostics14242785
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung