Datasets:
Add standalone mask examples on black backgrounds
Browse files- README.md +39 -0
- manifest.json +6 -2
- masks.png +3 -0
README.md
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@@ -169,6 +169,45 @@ plt.show()
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Each row shows the colour image and its marked nuclei.
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## Preparation and validation
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The [original PanNuke masks](https://warwick.ac.uk/fac/cross_fac/tia/data/pannuke/) store each cell class separately. These were combined into `inst` and `type`, keeping every nucleus and assigning new nucleus numbers within each image. Where source masks overlap, the lower class number wins. Image size and colour values are unchanged.
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Each row shows the colour image and its marked nuclei.
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Two examples without the image underneath. Black marks background; bright instance colours distinguish objects, not cell types. Class colours match the overlay examples above.
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```python
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from skimage.color import label2rgb
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instance_colors = [
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(1, 0.85, 0.2),
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(0.2, 1, 1),
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(1, 0.3, 0.8),
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(0.5, 1, 0.2),
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(0.65, 0.55, 1),
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]
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mask_samples = samples.to_dicts()
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mask_samples = [mask_samples[0], mask_samples[-1]]
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mask_layers = [("inst", "Nucleus instances"), ("type", "Nucleus classes")]
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mask_fig, mask_axes = plt.subplots(2, 2, figsize=(6.4, 8))
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for row_axes, sample in zip(mask_axes, mask_samples):
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for column, (ax, (key, title)) in enumerate(zip(row_axes, mask_layers)):
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labels = read_png(sample[key])
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if key == "type":
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pixels = nucleus_colors[labels]
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else:
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pixels = label2rgb(
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labels, colors=instance_colors, bg_label=0, bg_color=(0, 0, 0)
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)
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ax.imshow(pixels, interpolation="nearest")
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ax.set_axis_off()
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label = sample["id"]
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row_axes[0].text(0, 1.02, label, transform=row_axes[0].transAxes, fontsize=8)
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for ax, (_, title) in zip(mask_axes[0], mask_layers):
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ax.set_title(title, fontsize=10, pad=18)
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mask_fig.subplots_adjust(
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left=0.01, right=0.99, bottom=0.02, top=0.94, hspace=0.16, wspace=0.03
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)
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plt.show()
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```
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## Preparation and validation
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The [original PanNuke masks](https://warwick.ac.uk/fac/cross_fac/tia/data/pannuke/) store each cell class separately. These were combined into `inst` and `type`, keeping every nucleus and assigning new nucleus numbers within each image. Where source masks overlap, the lower class number wins. Image size and colour values are unchanged.
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manifest.json
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],
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"documentation": {
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"README.md": {
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-
"sha256": "
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-
"bytes":
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},
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"examples.png": {
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"sha256": "d281d4048618bcb91a1b8d919c70638f28778f8267b4d1e5ff98f914159a7cb2",
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"bytes": 394767
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}
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}
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}
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],
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"documentation": {
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"README.md": {
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"sha256": "0a3cab01cdf4c42212239be4bbb6b0314b0702ab6b7a74377e39418b85817580",
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"bytes": 7708
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},
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"examples.png": {
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"sha256": "d281d4048618bcb91a1b8d919c70638f28778f8267b4d1e5ff98f914159a7cb2",
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"bytes": 394767
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},
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"masks.png": {
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"sha256": "4ca487b5e39d90d957761bd013c711760be5e0882a297bb4339f49c7eda8b3da",
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"bytes": 31208
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}
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}
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}
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masks.png
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Git LFS Details
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