MetAssist 2.0: A Generalizable Artificial Intelligence Framework for Lymph Node Metastasis Detection Across Multiple Cancer Types.

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Bibliographic Details
Title: MetAssist 2.0: A Generalizable Artificial Intelligence Framework for Lymph Node Metastasis Detection Across Multiple Cancer Types.
Authors: Garcia-Baroja J; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland; Department of Digital Medicine, University of Bern, Bern, Switzerland., Dislich B; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Department of Digital Medicine, University of Bern, Bern, Switzerland., Zens P; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland., Zagrapan B; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Department of Digital Medicine, University of Bern, Bern, Switzerland., Parokkaran FM; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Wütschert L; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Weber SE; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Christe L; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Neppl C; Institute of Pathology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Rau T; Institute of Pathology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Perren A; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Department of Digital Medicine, University of Bern, Bern, Switzerland., Tolkach Y; Institute of Pathology, University Hospital Cologne, Cologne, Germany., Zlobec I; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Department of Digital Medicine, University of Bern, Bern, Switzerland. Electronic address: inti.zlobec@unibe.ch., Khan A; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland; Department of Digital Medicine, University of Bern, Bern, Switzerland. Electronic address: amjad.khan@unibe.ch.
Source: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc [Mod Pathol] 2026 Jun; Vol. 39 (6), pp. 101003. Date of Electronic Publication: 2026 Apr 15.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 8806605 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0285 (Electronic) Linking ISSN: 08933952 NLM ISO Abbreviation: Mod Pathol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1530-0285
DOI:10.1016/j.modpat.2026.101003