Mpox lesion counting with semantic and instance segmentation methods
Instance segmentation methods and UNet-based semantic segmentation methods performed equally well in lesion counting. Furthermore, the ensemble of the trained models showed no performance increase over the best-performing model UNet, likely because errors are frequently shared across models. Performance is likely limited by the availability of high-quality photographs for this complex problem, rather than the methodologies used.
Authors
- Tyler Bonnett (ORCID: https://orcid.org/0000-0001-5545-6433)
- David W. House (ORCID: https://orcid.org/0000-0003-1650-0088)
- Edward W. Cowen (ORCID: https://orcid.org/0000-0003-1918-4324)
- Benoît M. Dawant (ORCID: https://orcid.org/0000-0002-3804-8400)
- Andrew McNeil (ORCID: https://orcid.org/0000-0003-1496-9691)
- Lori E. Dodd (ORCID: https://orcid.org/0000-0002-3433-5429)
- Eric R. Tkaczyk (ORCID: https://orcid.org/0000-0002-2850-4740)
- Véronique Nussenblatt (ORCID: https://orcid.org/0000-0002-9530-0131)
- Inga Saknīte (ORCID: https://orcid.org/0000-0002-4000-5485)
- Ziche Chen (ORCID: https://orcid.org/0000-0003-4005-9261)
- Placide Mbala‐Kingebeni (ORCID: https://orcid.org/0000-0003-1556-3570)
- Olivier Tshiani Mbaya (ORCID: https://orcid.org/0000-0003-1908-5190)
- Tyra Silaphet
- Yihao Liu (ORCID: https://orcid.org/0000-0001-9874-0602)
- Bohan Jiang
Institutions
- Vanderbilt University (US)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (US)
- VA Tennessee Valley Healthcare System (US)
- Frederick National Laboratory for Cancer Research (US)
- National Institute of Allergy and Infectious Diseases (US)
- National Institute of Biomedical Research (CD)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1117/1.jmi.12.3.034506
- Primary Topic
- Poxvirus research and outbreaks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Health and Human Services
- U.S. Department of Veterans Affairs
- National Institutes of Health
- Clinical Science Research and Development
- National Cancer Institute
- National Center for Advancing Translational Sciences