Computational Complexity Comparison of Deep Learning Models for Thyroid Carcinoma

Computational complexity comparison of deep learning models. The dataset is a 12.1 KB Excel file uploaded by Huiting Chen to figshare under a CC-BY-4.0 license. It was last updated on April 3, 2026.

Use Cases

• Benchmarking model efficiency based on computational complexity metrics
• Comparing predictive performance of models for papillary thyroid carcinoma
• Assessing model improvements using metrics like Net Reclassification Improvement
• Validating model results across internal and external validation cohorts

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 12.1 KB, indicating a compact and focused dataset

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

figshare

Collection Method

Uploaded by author Huiting Chen; specific collection method is not detailed.

Time Range

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Freshness

Last updated 2026-04-03 17:42:58; freshness should be verified

Geography

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