A deep learning framework for efficient pathology image analysis.
- DOI
- 10.1038/s41467-026-74918-9
- Published
- 2026 Jul 1
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-026-74918-9,
title = {A deep learning framework for efficient pathology image analysis.},
author = {Neidlinger P and Lenz T and Foersch S and Loeffler CML and Clusmann J and Gustav M and Shaktah LA and Langer R and Dislich B and Boardman LA and French AJ and Goode EL and Gsur A and Brezina S and Gunter MJ and Steinfelder R and Behrens HM and Röcken C and Harrison T and Peters U and Phipps AI and Curigliano G and Fusco N and Marra A and Hoffmeister M and Brenner H and Kather JN},
year = {2026},
journal = {Nature communications},
doi = {10.1038/s41467-026-74918-9},
url = {https://doi.org/10.1038/s41467-026-74918-9}
}RIS
TY - JOUR TI - A deep learning framework for efficient pathology image analysis. AU - Neidlinger P AU - Lenz T AU - Foersch S AU - Loeffler CML AU - Clusmann J AU - Gustav M AU - Shaktah LA AU - Langer R AU - Dislich B AU - Boardman LA AU - French AJ AU - Goode EL AU - Gsur A AU - Brezina S AU - Gunter MJ AU - Steinfelder R AU - Behrens HM AU - Röcken C AU - Harrison T AU - Peters U AU - Phipps AI AU - Curigliano G AU - Fusco N AU - Marra A AU - Hoffmeister M AU - Brenner H AU - Kather JN PY - 2026 JO - Nature communications DO - 10.1038/s41467-026-74918-9 UR - https://doi.org/10.1038/s41467-026-74918-9 ER -
APA
P, N., T, L., S, F., CML, L., J, C., M, G., LA, S., R, L., B, D., LA, B., AJ, F., EL, G., A, G., S, B., MJ, G., R, S., HM, B., C, R., T, H., U, P., AI, P., G, C., N, F., A, M., M, H., H, B., & JN, K. (2026). A deep learning framework for efficient pathology image analysis.. Nature communications. https://doi.org/10.1038/s41467-026-74918-9
Source records
- pubmed · retrieved 2026-09-27T10:30:56.580Z