Machine Learning-Based Fluorescence Assessment for Augmented Imaging and Decision Support in Glioblastoma Resections
: By enabling more sensitive and objective fluorescence detection, this approach offers a valuable tool for improving surgical decision-making and facilitating safer, more extensive tumor resections.
Authors
- Anna Schaufler
- Sunisha Pamnani
- Claudia A. Dumitru (ORCID: https://orcid.org/0000-0003-2075-9164)
- Axel Boese (ORCID: https://orcid.org/0000-0002-5874-7145)
- Belal Neyazi (ORCID: https://orcid.org/0000-0002-3163-0545)
- I. Erol Sandalcioglu
- Klaus-Peter Stein
- Ali Rashidi
Institutions
- Otto-von-Guericke-Universität Magdeburg (DE)
Publication Details
- Journal
- Cancers
- Published
- 2026-03-31
- DOI
- https://doi.org/10.3390/cancers18071125
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00