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inseung-lab (press backspace or delete to remove)

seung-lab/euclidean-distance-transform-3d

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
python
algorithm
cpp
numpy
parallel
  • C++
  • 230
  • Updated
    16 days ago
Star

seung-lab/kimimaro

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
python
voxel
python3
image-segmentation
python2
  • C++
  • 132
  • Updated
    6 hours ago
Star

seung-lab/cloud-volume

Read and write Neuroglancer datasets programmatically.
python
cloud
big-data
serverless
numpy
  • Python
  • 128
  • Updated
    8 hours ago
Star

seung-lab/zmesh

Marching Cubes & Mesh Simplification on multi-label 3D images.
python
meshing
marching-cubes-algorithm
mesh-generation
marching-cubes
  • C++
  • 56
  • Updated
    6 days ago
Star

seung-lab/igneous

Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
visualization
python
docker
kubernetes
cloud
  • Python
  • 42
  • Updated
    6 hours ago
Star

seung-lab/fpzip

Cython bindings for fpzip, a floating point image compression algorithm.
python
compression
numpy
image-analysis
floating-point
  • C++
  • 33
  • Updated
    on Jun 22
Star

seung-lab/data-cube-x

JS biomedical 3D image stack. Fast CPU rendering. Easy web app integration.
visualization
javascript
viewer
rendering
connectomics
  • JavaScript
  • 9
  • Updated
    on Jan 31, 2019
Star

seung-lab/compresso

Compresso: Efficient Compression of Segmentation Data For Connectomics
compression
segmentation
connectomics
  • C++
  • 4
  • Updated
    on Jun 22
Star

seung-lab/compressedseg

compressed_segmentation for Neuroglancer volumes. This is the PyPI package fork.
compression
segmentation
connectomics
compression-library
neuroglancer
  • C++
  • 4
  • Updated
    on Jun 22
Star

seung-lab/zebrafish

Zebrafish Hindbrain Connectome
connectomics
connectome
electron-microscopy-datasets
  • Liquid
  • 1
  • Updated
    on Dec 20, 2023
Star
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