Classification of esophageal cancer by using hyperspectral data
HSI has relevant potential for supporting the detection of tumorous tissue in esophageal cancer. However, further analyses including more detailed histopathologic correlation as "gold standard" are needed. Data augmentation and future multicenter studies have to be carried out. These steps may help to improve and sharpen our current findings, especially for esophageal cancerous tissue.
Authors
- H. Köhler (ORCID: https://orcid.org/0000-0001-9342-3288)
- Marianne Maktabi (ORCID: https://orcid.org/0000-0001-6954-4530)
- Benjamin Huber (ORCID: https://orcid.org/0000-0002-3341-9065)
- Boris Jansen‐Winkeln (ORCID: https://orcid.org/0000-0002-3996-9391)
- Claudia Hain
- Katrin Schierle (ORCID: https://orcid.org/0000-0002-5188-5537)
- René Thieme
- Ines Gockel (ORCID: https://orcid.org/0000-0001-7423-713X)
Institutions
- Klinikum St. Georg (DE)
- Anhalt University of Applied Sciences (DE)
- Sana Kliniken AG (DE)
- Klinikum Magdeburg (DE)
- University Hospital Leipzig (DE)
- University Hospital Magdeburg (DE)
- Leipzig University (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1007/s11548-025-03514-x
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00