Multimodal paired reflectance confocal microscopy image and Raman spectroscopy dataset for

30 patients with basal cell carcinomas contributed to this multimodal dataset of paired reflectance confocal microscopy images and Raman spectra. The data was collected via point-by-point scanning and is authored by Khan, Fadeel Sher, hosted by the Texas Data Repository. The dataset was last updated on March 18, 2024.

Use Cases

• Training classifiers to differentiate basal cell carcinoma from other skin conditions based on paired image and spectral features.
• Developing multimodal fusion models that integrate visual and chemical information from reflectance confocal microscopy and Raman spectroscopy.
• Benchmarking feature extraction methods for point-by-point scanned spectral data aligned with high-resolution skin images.

Strengths

• Data is explicitly paired, linking microscopy images with Raman spectra for the same sample points.
• Focus on a specific pathology (basal cell carcinoma) with data from 30 patients.
• Detailed methodology and pre-processing are referenced in a peer-reviewed publication (DOI: 10.1364/BOE.10.000104).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Data may reflect temporal and source bias inherent to the specific collection study.

Provenance

Source

Texas Data Repository Harvested Dataverse

Collection Method

Point-by-point scanning of Raman spectra paired with reflectance confocal microscopy images.

Time Range

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Freshness

Last updated 2024-03-18 09:26:27; freshness should be verified.

Geography

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