Litcius/Paper detail

CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models

Fabian Hörst, Moritz Rempe, Helmut Becker, Lukas Heine, Julius Keyl, Jens Kleesiek

2026Computer Methods and Programs in Biomedicine10 citationsDOI

Topics & Concepts

Computer scienceSegmentationArtificial intelligenceKey (lock)Machine learningDecoupling (probability)Code (set theory)Data miningSource codeFoundation (evidence)Image segmentationPattern recognition (psychology)Data typeSoftwareCell Image Analysis TechniquesAI in cancer detectionDigital Imaging for Blood Diseases
CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models | Litcius