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Version bump 0.2.2
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README.md

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@@ -52,21 +52,25 @@ The strength of our approach is we can match supervised model performance with p
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![FIG1 (1)](https://github.com/user-attachments/assets/0d970b45-79ff-4c58-861f-e1e7dc9abc65)
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**Figure 1. Performance of 3D Semantic and Instance Segmentation Models.**
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**a:** Raw mesoSPIM whole-brain sample, volumes and corresponding ground truth labels from somatosensory (S1) and visual (V1) cortical regions.
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**Figure 1. Performance of 3D Semantic and Instance Segmentation Models.**
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**a:** Raw mesoSPIM whole-brain sample, volumes and corresponding ground truth labels from somatosensory (S1) and visual (V1) cortical regions.
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**b:** Evaluation of instance segmentation performance for baseline
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thresholding-only, supervised models: Cellpose, StartDist, SwinUNetR, SegResNet, and our self-supervised model WNet3D over three data subsets.
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F1-score is computed from the Intersection over Union (IoU) with ground truth labels, then averaged. Error bars represent 50% Confidence Intervals
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(CIs).
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**c:** View of 3D instance labels from supervised models, as noted, for visual cortex volume in b evaluation.
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(CIs).
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**c:** View of 3D instance labels from supervised models, as noted, for visual cortex volume in b evaluation.
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**d:** Illustration of our WNet3D architecture showcasing the dual 3D U-Net structure with our modifications.
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## News
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**New version: v0.2.1**
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**New version: v0.2.2**
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- v0.2.1:
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- v0.2.2:
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- Updated Colab notebooks for training and inference!
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- New models available in inference demo notebook
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- CRF optional post-processing adjustments
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- v0.2.2:
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- Updated plugin default behaviors across the board to be more readily applicable to demo data
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- Threshold value in inference is now automatically set by default according to performance on demo data on a per-model basis
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- Added a grid search utility to find best thresholds for supervised models

napari_cellseg3d/__init__.py

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"""napari-cellseg3d - napari plugin for cell segmentation."""
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__version__ = "0.2.1"
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__version__ = "0.2.2"

napari_cellseg3d/code_plugins/plugin_helper.py

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self.logo_label.setToolTip("Open Github page")
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self.info_label = ui.make_label(
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f"You are using napari-cellseg3d v.{'0.2.1'}\n\n"
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f"You are using napari-cellseg3d v.{'0.2.2'}\n\n"
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f"Plugin for cell segmentation developed\n"
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f"by the Mathis Lab of Adaptive Motor Control\n\n"
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f"Code by :\nCyril Achard\nMaxime Vidal\nJessy Lauer\nMackenzie Mathis\n"

setup.cfg

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[metadata]
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name = napari_cellseg3d
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version = 0.2.1
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version = 0.2.2
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[options]
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packages = find:

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