Synapse: Multi-Organ Segmentation from 30 Abdominal CT Scans

A dataset from the MICCAI 2015 Multi-Site CT Annotation Challenge includes 30 abdominal CT scans and 3,779 axial abdominal clinical CT images. The dataset was uploaded by Yuyan Bin and last updated on 2026-05-12. It is available as a 579.7 MB ZIP file under a CC-BY-4.0 license.

Use Cases

• Train organ segmentation models based on the 3,779 axial CT images.
• Benchmark multi-organ segmentation algorithms based on the 30 CT scans from a public challenge.
• Develop pre-processing pipelines for abdominal CT data based on the provided image collection.

Strengths

• Includes 3,779 individual axial CT images for detailed analysis.
• Originates from a recognized public challenge (MICCAI 2015 Multi-Site CT Annotation Challenge).
• Released under a permissive CC-BY-4.0 license for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

MICCAI 2015 Multi-Site CT Annotation Challenge

Collection Method

Likely collected for a public research challenge.

Freshness

Last updated 2026-05-12 08:41:35; freshness should be verified.