CAMEO-Lung: Aligned H&E Patches and Gene Expression Profiles

CAMEO-Lung is a multimodal benchmark dataset containing aligned histopathology images and gene expression profiles from lung tissue. The dataset was created by theislab and last updated on Hugging Face in February 2026. It is intended for research in spatial transcriptomics and computational pathology.

Use Cases

• Train multimodal models for tissue classification based on aligned H&E image patches and gene expression data.
• Develop methods for correlating histological image features with molecular profiles in lung tissue.
• Benchmark multimodal fusion techniques for spatial transcriptomics data analysis.
• Conduct research on biomarker discovery in lung pathology using paired image and expression data.

Strengths

• Dataset is explicitly designed as a multimodal benchmark for aligned data.
• Last updated on 2026-02-27, indicating recent maintenance.

Limitations

• Row count, file formats, and column-level documentation are unknown.
• License information is not provided in the available metadata.

Provenance

Source

theislab

Collection Method

Aligned H&E patches and gene expression profiles from a lung study.

Time Range

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Freshness

Last updated 2026-02-27 02:03:02.

Geography

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