An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation

06/18/2015
by   Xundong Wu, et al.
0

To build the connectomics map of the brain, we developed a new algorithm that can automatically refine the Membrane Detection Probability Maps (MDPM) generated to perform automatic segmentation of electron microscopy (EM) images. To achieve this, we executed supervised training of a convolutional neural network to recover the removed center pixel label of patches sampled from a MDPM. MDPM can be generated from other machine learning based algorithms recognizing whether a pixel in an image corresponds to the cell membrane. By iteratively applying this network over MDPM for multiple rounds, we were able to significantly improve membrane segmentation results.

READ FULL TEXT

page 3

page 5

research
12/16/2016

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

Electron microscopic connectomics is an ambitious research direction wit...
research
06/13/2015

Combinatorial Energy Learning for Image Segmentation

We introduce a new machine learning approach for image segmentation that...
research
12/17/2019

Nanoscale Microscopy Images Colourisation Using Neural Networks

Microscopy images are powerful tools and widely used in the majority of ...
research
03/05/2018

Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks

Convolutional neural networks are powerful tools for image segmentation ...
research
10/23/2018

Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy

Biological membranes are one of the most basic structures and regions of...
research
05/03/2021

Robust 3D Cell Segmentation: Extending the View of Cellpose

Increasing data set sizes of digital microscopy imaging experiments dema...
research
10/01/2019

Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets

Automatic analyses and comparisons of different stages of embryonic deve...

Please sign up or login with your details

Forgot password? Click here to reset