Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-NET, trained to predict affinities between voxels, followed by iterative region agglomeration. We train …