tissue_masks
Tissue masks are binary representations that identify tissue regions within whole slide images. They are essential for filtering out background, artifacts, and non-tissue areas during tile extraction. Histolab provides several mask classes…
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mkdir -p .claude/skills/tissue-masks && curl -fsSL https://doutorai.pt/data/lib/skills__tissue-masks.md -o .claude/skills/tissue-masks/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Tissue Masks
## Overview
Tissue masks are binary representations that identify tissue regions within whole slide images. They are essential for filtering out background, artifacts, and non-tissue areas during tile extraction. Histolab provides several mask classes to accommodate different tissue segmentation needs.
## Mask Classes
### BinaryMask
**Purpose:** Generic base class for creating custom binary masks.
```python
from histolab.masks import BinaryMask
class CustomMask(BinaryMask):
def _mask(self, obj):
# Implement custom masking logic
# Return binary numpy ar
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