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CellViT
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Grade
Name
Complexity
Churn
Issues
A
preprocessing\patch_extraction\scripts\macenko.py
 1 -
A
logs_paper\PanNuke\CellViTHV\SAM-H\Ablation-Study\x20\Fold-2\config.yaml
 1 -
A
preprocessing\patch_extraction\src\cucim_deepzoom.py
1 2 -
A
utils\tools.py
30 3 -
A
preprocessing\patch_extraction\src\process_batch.py
19 2 1
A
utils\file_handling.py
0 1 -
A
base_ml\base_early_stopping.py
10 1 -
A
base_ml\base_trainer.py
18 3 -
A
cell_segmentation\inference\inference_cpp_net_experiment_pannuke.py
4 1 1
A
logs_paper\PanNuke\CellViTCPP\SAM-H\Our-Setting\Fold-3\config.yaml
 1 -
A
models\__init__.py
 1 -
B
models\segmentation\cell_segmentation\cellvit.py
21 2 5
B
models\segmentation\cell_segmentation\cellvit_cpp_net.py
14 2 5
B
models\segmentation\cell_segmentation\cellvit_shared.py
13 1 5
B
models\segmentation\cell_segmentation\cellvit_stardist_shared.py
9 1 5
B
cell_segmentation\trainer\trainer_cellvit.py
52 4 5
B
preprocessing\patch_extraction\src\patch_extraction.py
100 6 4
B
cell_segmentation\trainer\trainer_stardist.py
32 1 8
C
cell_segmentation\experiments\experiment_cellvit_conic.py
88 1 8
C
cell_segmentation\experiments\experiment_cellvit_pannuke.py
93 1 8