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Official implementation of "Addressing Distribution Mismatch for Effective Semi-Supervised Neuron Segmentation" [under review]

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SL-SSNS

Official implementation of "Addressing Distribution Mismatch for Effective Semi-Supervised Neuron Segmentation" [under review]

Selective Labeling

Pretraining

cd Pretraining
python pretraining.py

CGS Selection

cd CGS
python CGS.py

Semi-supervised Training

cd IIC-Net

Supervised Warm-up

python warmup.py

Mixed-view Consistency Regularization

python semi_tuning.py

Acknowledgement

This code is based on SSNS-Net (IEEE TMI'22) by Huang Wei et al. The postprocessing tools are based on constantinpape/elf and funkey/waterz. Should you have any further questions, please let us know. Thanks again for your interest.

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Official implementation of "Addressing Distribution Mismatch for Effective Semi-Supervised Neuron Segmentation" [under review]

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