Cell DINO: End-to-End Cell Segmentation and Tracking with Transformer
Precise cell segmentation and tracking are essential in biomedical research, but current methods are often complex and inefficient. We propose Cell DINO, an extension of the Transformer-based Mask DINO, designed for cell segmentation and tracking. By introducing rotated bounding boxes, track queries, and mitosis queries, our model detects, segments, and tracks cells simultaneously. Benchmarked on the Cell Tracking Challenge, Cell DINO ranked first on DIC-C2DH-HeLa and second on Fluo-N2DH-GOWT1 datasets, demonstrating its effectiveness and simplicity.
Authors
- Chunyuan Zhang (ORCID: https://orcid.org/0000-0002-0944-2708)
- Wei Liao (ORCID: https://orcid.org/0000-0001-8530-887X)
- Lei Luo (ORCID: https://orcid.org/0000-0002-9329-1411)
- Changjian Wang (ORCID: https://orcid.org/0000-0003-2745-7628)
Institutions
- National University of Defense Technology (CN)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/bibm62325.2024.10821971
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.66