Challenges

The lab hosts various computational challenges in 2-dimensional and 3-dimensional image identification and segmentation, open to the public and academics alike. Here are the links to two most recent challenges:

 

2D EM Segmentation Challenge – Participants are givenĀ a full stack of EM slices, and asked to develop machine learning algorithms for automatic segmentation of neural structures from 2D images.

3D EM Segmentation Challenge – Participants are given a full stack of EM slices, and asked to develop machine learning algorithms for automatic segmentation of neural structures in 3D from anistropically stitched 2D images.