MetAssist 2.0: A Generalizable Artificial Intelligence Frame…
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- DOI 10.1016/j.modpat.2026.101003
- PMID https://pubmed.ncbi.nlm.nih.gov/41997560
- OpenAlex ID W7154496964
- Type Article
- Language EN
- Published 15 Apr 2026
- Volume 39 (6)
- Pages 101003
- Source Modern Pathology
- Publisher Elsevier BV
- Countries 2
- Institutions 3
- Added 16 Apr 2026
- Updated 14 Oct 2026
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MetAssist 2.0: A Generalizable Artificial Intelligence Framework for Lymph Node Metastasis Detection Across Multiple Cancer Types
Article 2026 EN Hybrid
Lymph node metastasis assessment is critical for cancer staging, yet the process is labor intensive and prone to variability, particularly when evaluating micrometastases or isolated tumor cells that can directly alter treatment decisions. We present MetAssist 2.0, a modular artificial intelligence system that combines a pathology foundation model with transformer-based segmentation to automate me…
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1 SDGsAuthors & Affiliations
14 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Javier García-Baroja | University of Bern (CH) | |
| 2 | Bastian Dislich | University of Bern (CH) | |
| 3 | Philipp Zens | University of Bern (CH) | |
| 4 | Branislav Zagrapan | University of Bern (CH) | |
| 5 | Fammi Parokkaran | University of Bern (CH) | |
| 6 | Léo Wütschert | University of Bern (CH) | — |
| 7 | Synes Elias Weber | University of Bern (CH) | — |
| 8 | Lucine Christe | University of Bern (CH) | |
| 9 | Christina Neppl | Heinrich Heine University Düss… (DE) | — |
| 10 | Tilman T. Rau | Heinrich Heine University Düss… (DE) | |
| 11 | Aurel A. Perren | University of Bern (CH) | |
| 12 | Yuri Tolkach | University Hospital Cologne (DE) | |
| 13 | Inti Zlobec Corresponding | University of Bern (CH) | |
| 14 | Amjad Khan Corresponding | University of Bern (CH) |
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