ViT-Assisted Ultrasound Diagnosis Performance for Thyroid Cancer

Huiting Chen's dataset compares the diagnostic performance of ultrasound doctors with and without the assistance of a Vision Transformer (ViT) model for thyroid cancer. The data is stored in an XLS file sized at 5.5 KB and was last updated on April 3, 2026. It is licensed under CC-BY-4.0 and shared via the figshare platform.

Use Cases

• Compare diagnostic performance metrics between assisted and unassisted doctors based on the study's comparative design.
• Analyze model-assisted improvements in predictive performance for thyroid cancer based on the description.
• Investigate the impact of clinical experience levels on diagnostic outcomes with AI assistance based on the platform tags.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial inspection.
• License is clearly defined as CC-BY-4.0, permitting open reuse with attribution.
• Last update date (2026-04-03) is recent, suggesting current relevance.

Limitations

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

Provenance

Source

Huiting Chen via figshare.

Collection Method

Likely contains results from a comparative study of ultrasound diagnosis with AI assistance.

Time Range

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Freshness

Last updated 2026-04-03 17:43:11; freshness should be verified.

Geography

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