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CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Hörst, Fabian, Rempe, Moritz, Becker, Helmut, Heine, Lukas, Keyl, Julius, Kleesiek, Jens
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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