2015
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
NeurIPS 2015poster
Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for reconstruction is the detection of neuronal boundaries. Images acquired by serial section EM, a leading 3D EM technique, a…