CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models
TU Dortmund University · Essen University Hospital · +2 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
8
total citations
- FWCI
- 139.06
- Percentile
- 100%
- References
- 29
Too recent for citation history.
Authors
6- FHFabian Hörst
TU Dortmund University, Essen University Hospital
- MRMoritz Rempe
TU Dortmund University, Essen University Hospital
- HBHelmut Becker
Essen University Hospital
- LHLukas Heine
Essen University Hospital
- JKJulius Keyl
Essen University Hospital
Topics & keywords
Topics
Keywords
- Segmentation
- Key (lock)
- Decoupling (probability)
- Code (set theory)
- Source code
- Foundation (evidence)
UN Sustainable Development Goals
- Affordable and clean energy
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