Kvasir SEG: Segmented Polyp Images for Gastrointestinal Disease Detection

A dataset of medical images for gastrointestinal disease detection, specifically focusing on polyps. The description indicates it contains segmented polyp images, likely for computer-aided diagnosis. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown.

Use Cases

• Train semantic segmentation models based on segmented polyp images.
• Benchmark computer-aided detection algorithms for gastrointestinal diseases.
• Develop diagnostic support tools for endoscopy based on the described image annotations.

Strengths

• The dataset is specifically designed for a critical medical application: computer-aided gastrointestinal disease detection.
• It contains segmented polyp images, providing pixel-level annotations crucial for training precise models.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation and sample data are absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle