---
license: cc-by-4.0
task_categories:
  - image-segmentation
tags:
  - histology
  - seminiferous-tubules
  - semantic-segmentation
---

# Seminiferous Tubule Segmentation Dataset

Processed dataset for 3-class semantic segmentation of seminiferous tubules in H&E-stained histology images.

## Classes
- **0 - Background**: Interstitial tissue and non-tubule regions
- **1 - Tubule wall**: Seminiferous tubule wall (epithelium between outer and inner contour)
- **2 - Lumen**: Hollow center of the tubule

## Dataset Structure
```
train/
  images/  # Clean tissue images (red annotations inpainted)
  masks/   # Segmentation masks (0=bg, 1=tubule, 2=lumen)
val/
  images/
  masks/
metadata.json
```

## Statistics
- **Train**: 281 images
- **Val**: 70 images
- **Original source**: [LuGot16/tubules](https://huggingface.co/datasets/LuGot16/tubules)

## Mask Extraction Method
Masks were extracted from manually drawn red contour annotations using:
1. Red pixel detection (R>150, G<100, B<100, R-G>80)
2. Morphological dilation to connect broken lines
3. RETR_CCOMP contour hierarchy detection (outer=tubule boundary, inner=lumen boundary)
4. Contour filling with parent-child relationship mapping