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CellViT
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Complexity
Churn
Issues
A
cell_segmentation\utils\tools.py
25 2 -
A
models\encoders\VIT\SAM\image_encoder.py
27 1 -
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preprocessing\patch_extraction\src\utils\plotting.py
27 2 1
A
cell_segmentation\utils\metrics.py
27 1 -
A
cell_segmentation\experiments\experiment_stardist_pannuke.py
31 1 -
A
base_ml\base_experiment.py
32 2 -
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models\segmentation\cell_segmentation\cellvit.py
38 2 -
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utils\tools.py
39 3 -
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cell_segmentation\trainer\trainer_stardist.py
42 1 1
A
models\encoders\VIT\vits_histo.py
65 2 2
A
cell_segmentation\datasets\pannuke.py
67 3 -
A
cell_segmentation\trainer\trainer_cellvit.py
67 4 1
A
preprocessing\patch_extraction\src\cli.py
68 6 1
A
cell_segmentation\inference\inference_stardist_experiment_pannuke.py
70 1 1
A
models\segmentation\cell_segmentation\cpp_net_stardist_rn50.py
77 1 -
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base_ml\base_loss.py
77 2 1
A
cell_segmentation\inference\inference_cellvit_experiment_monuseg.py
81 1 -
A
cell_segmentation\inference\inference_cellvit_experiment_pannuke.py
84 1 2
A
cell_segmentation\experiments\experiment_cellvit_conic.py
89 1 1
A
cell_segmentation\experiments\experiment_cellvit_pannuke.py
94 1 1