AxonEM
Introduced by Wei et al. in AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
The AxonEM dataset consists of two 30x30x30 um^3 EM image volumes from the human and mouse cortex, respectively. It is used for 3D axon instance segmentation of brain cortical regions. The authors proofread over 18,000 axon instances to provide dense 3D axon instance segmentation, enabling large-scale evaluation of axon reconstruction methods. In addition, the authors also densely annotate nine ground truth subvolumes for training, per each data volume.
Papers
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