FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

Understand

Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy.

• One of the main challenges in connectomics research is developing scalable image analysis algorithms that require minimal user intervention.
• Recently, deep learning has drawn much attention in computer vision because of its exceptional performance in image classification tasks.
• For this reason, its application to connectomic analyses holds great promise, as well.