CellNet applies regression-based deep learning to count cells from sparse point annotations in microscopy images and claims better performance than zero-shot methods in low-data regimes.
arXiv preprint arXiv:2308.03726 , year=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CellNet -- Localizing Cells using Sparse and Noisy Point Annotations
CellNet applies regression-based deep learning to count cells from sparse point annotations in microscopy images and claims better performance than zero-shot methods in low-data regimes.