u-LINNDA: A protocol for user-optimized lymphoma identification through neural network detection aid
Glioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are aggressive brain tumors that require neurosurgical treatment. For targeted treatment, biopsy and histopathological identification of the tumor entity are necessary. Here, we present a protocol for diagnosing PCNSL using a convolutional neural network (CNN)-based algorithm. We describe steps for installing the u-LINNDA (user-optimized lymphoma identification through neural network detection aid) algorithm, data preparation and preprocessing, and predicting tumor entities using u-LINNDA. We then detail procedures for predicting tumor identity and inspecting the u-LINNDA report.
Authors
- Jan‐Oliver Neumann (ORCID: https://orcid.org/0000-0002-0705-471X)
- Sandro M. Krieg (ORCID: https://orcid.org/0000-0003-4050-1531)
- Moritz Scherer (ORCID: https://orcid.org/0000-0003-1203-9351)
- Martin Bendszus (ORCID: https://orcid.org/0000-0002-9094-6769)
- Klaus Maier‐Hein (ORCID: https://orcid.org/0000-0002-6626-2463)
- Maximilian Fischer (ORCID: https://orcid.org/0009-0001-8305-6370)
- Paul Naser (ORCID: https://orcid.org/0000-0002-2012-8023)
- Peter Neher (ORCID: https://orcid.org/0000-0002-5285-7554)
- Martin Jakobs (ORCID: https://orcid.org/0000-0002-6104-8898)
- Kianush Karimian‐Jazi (ORCID: https://orcid.org/0000-0002-5550-0489)
- Robin Peretzke (ORCID: https://orcid.org/0000-0002-6187-3636)
- Manuel Kaes (ORCID: https://orcid.org/0009-0001-4603-5036)
- Chiraz Ben-Salah
- M. Mäurer (ORCID: https://orcid.org/0009-0009-7696-3931)
- Florian Max Hauptmann
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- National Center for Tumor Diseases (DE)
Publication Details
- Journal
- STAR Protocols
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1016/j.xpro.2025.104176
- Citations
- 2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.25