Automatic Segmentation Output
Original Image
Tissue Type: Dentate Gyrus
Reference
Method: automatic segmentation of mitochondria utilizing patch classification, contour pair classification, and automatically seeded level sets
The goal of the Cytoseg project is to produce a tool for automatic segmentation of 3D biological datasets, with emphasis on 3D electron microscopy. The project is written in Python and uses the pythonxy platform (which includes scipy and ITK image processing tools). Cytoseg is currently in a pre-alpha stage.
This project contributes to the the larger problem of circuit reconstruction and connectomics by producing tools to segment components of the nervous system from the bottom up.
Cytoseg project source code at google code
This project contributes to the the larger problem of circuit reconstruction and connectomics by producing tools to segment components of the nervous system from the bottom up.
Cytoseg project source code at google code
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