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Greatest papers with code

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

31 May 2017wolny/pytorch-3dunet

For the past decade, convolutional networks have been used for 3D reconstruction of neurons from electron microscopic (EM) brain images.

3D RECONSTRUCTION ELECTRON MICROSCOPY IMAGE SEGMENTATION

TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain

Nature Communicationsvolume 10, Article number: 3474 (2019) 2019 Vaa3D/release

Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neuron’s complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection.

ELECTRON MICROSCOPY IMAGE SEGMENTATION IMAGE RECONSTRUCTION

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation

14 Aug 2016tingliu/glia

We then propose a Bayesian model that combines the supervised and the unsupervised information for probabilistic learning.

ELECTRON MICROSCOPY ELECTRON MICROSCOPY IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Large-Scale Electron Microscopy Image Segmentation in Spark

1 Apr 2016janelia-flyem/DVIDSparkServices

In this paper, we propose a novel strategy to apply such segmentation on very large datasets that exceed the capacity of a single machine.

ELECTRON MICROSCOPY ELECTRON MICROSCOPY IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Dense cellular segmentation for EM using 2D–3D neural network ensembles

28 Jan 2021leapmanlab/examples

Here, we define dense cellular segmentation as a multiclass semantic segmentation task for modeling cells and large numbers of their organelles, and give an example in human blood platelets.

3D SEMANTIC SEGMENTATION ELECTRON MICROSCOPY ELECTRON MICROSCOPY IMAGE SEGMENTATION