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Version bump 0.2.2
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C-Achard committed Dec 23, 2024
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16 changes: 10 additions & 6 deletions README.md
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Expand Up @@ -52,21 +52,25 @@ The strength of our approach is we can match supervised model performance with p

![FIG1 (1)](https://github.com/user-attachments/assets/0d970b45-79ff-4c58-861f-e1e7dc9abc65)

**Figure 1. Performance of 3D Semantic and Instance Segmentation Models.**
**a:** Raw mesoSPIM whole-brain sample, volumes and corresponding ground truth labels from somatosensory (S1) and visual (V1) cortical regions.
**Figure 1. Performance of 3D Semantic and Instance Segmentation Models.**
**a:** Raw mesoSPIM whole-brain sample, volumes and corresponding ground truth labels from somatosensory (S1) and visual (V1) cortical regions.
**b:** Evaluation of instance segmentation performance for baseline
thresholding-only, supervised models: Cellpose, StartDist, SwinUNetR, SegResNet, and our self-supervised model WNet3D over three data subsets.
F1-score is computed from the Intersection over Union (IoU) with ground truth labels, then averaged. Error bars represent 50% Confidence Intervals
(CIs).
**c:** View of 3D instance labels from supervised models, as noted, for visual cortex volume in b evaluation.
(CIs).
**c:** View of 3D instance labels from supervised models, as noted, for visual cortex volume in b evaluation.
**d:** Illustration of our WNet3D architecture showcasing the dual 3D U-Net structure with our modifications.


## News

**New version: v0.2.1**
**New version: v0.2.2**

- v0.2.1:
- v0.2.2:
- Updated Colab notebooks for training and inference!
- New models available in inference demo notebook
- CRF optional post-processing adjustments
- v0.2.2:
- Updated plugin default behaviors across the board to be more readily applicable to demo data
- Threshold value in inference is now automatically set by default according to performance on demo data on a per-model basis
- Added a grid search utility to find best thresholds for supervised models
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2 changes: 1 addition & 1 deletion napari_cellseg3d/__init__.py
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"""napari-cellseg3d - napari plugin for cell segmentation."""

__version__ = "0.2.1"
__version__ = "0.2.2"
2 changes: 1 addition & 1 deletion napari_cellseg3d/code_plugins/plugin_helper.py
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Expand Up @@ -44,7 +44,7 @@ def __init__(self, viewer: "napari.viewer.Viewer"):
self.logo_label.setToolTip("Open Github page")

self.info_label = ui.make_label(
f"You are using napari-cellseg3d v.{'0.2.1'}\n\n"
f"You are using napari-cellseg3d v.{'0.2.2'}\n\n"
f"Plugin for cell segmentation developed\n"
f"by the Mathis Lab of Adaptive Motor Control\n\n"
f"Code by :\nCyril Achard\nMaxime Vidal\nJessy Lauer\nMackenzie Mathis\n"
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2 changes: 1 addition & 1 deletion setup.cfg
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[metadata]
name = napari_cellseg3d
version = 0.2.1
version = 0.2.2

[options]
packages = find:
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