MTCurv regresses pixel-wise microtubule curvature maps from noisy images using an attention-based residual U-Net trained on synthetic data with a gradient-aware loss.
Biophysical journal 106, 2625-2635 (2014)
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
-
MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images
MTCurv regresses pixel-wise microtubule curvature maps from noisy images using an attention-based residual U-Net trained on synthetic data with a gradient-aware loss.