most citedBoosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2024

DINeuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction

Yik San Cheng, Runkai Zhao, Heng Wang +5

Reconstructing neuron morphology from 3D light microscope imaging data is critical to aid neuroscientists in analyzing brain networks and neuroanatomy. With the boost from deep lea…