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

16 Dec 2016Tran Minh QuanDavid G. C. HildebrandWon-Ki Jeong

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... (read more)

PDF Abstract

Evaluation Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.