Hyperspectral and machine-learning-based classification of ischemic intestinal tissue
HSI combined with ML provides an effective, non-invasive tool for real-time intraoperative assessment of intestinal viability. This approach improves the objectivity of surgical decision-making and may reduce unnecessary resections.
Authors
- Viktor Dremin (ORCID: https://orcid.org/0000-0001-6974-3505)
- Nikita Alekseevich Adamenkov (ORCID: https://orcid.org/0000-0002-0238-2941)
- Elena Potapova (ORCID: https://orcid.org/0000-0002-9227-6308)
- Valery Shupletsov (ORCID: https://orcid.org/0009-0006-0024-8518)
- Andrian Mamoshin (ORCID: https://orcid.org/0000-0003-1787-5156)
- Andrey Dunaev (ORCID: https://orcid.org/0000-0003-4431-6288)
- I.A. Goryunov (ORCID: https://orcid.org/0000-0002-6258-545X)
Institutions
- Aston University (GB)
- Orel State University named after I.S. Turgenev (RU)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1117/1.jbo.30.11.116001
- Citations
- 1
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.36