Retinal G1020: CAD Model Performance Results Using IMGWO+ELM

A small dataset of 5.5 KB containing performance results for a proposed Computer-Aided Diagnosis (CAD) model evaluated on the Retinal G1020 dataset. The results are presented as percentages from a 10 × 5-fold cross-validation approach using the IMGWO+ELM method. The dataset was authored by Debendra Muduli and last updated on May 4, 2026.

Use Cases

• Benchmarking CAD model performance based on cross-validation results
• Comparing the IMGWO+ELM method against other machine learning approaches for medical imaging
• Analyzing the effectiveness of a specific model architecture on retinal image data

Strengths

• Dataset is licensed under CC-BY-4.0, allowing for open sharing and reuse.
• The evaluation method is specified as a 10 × 5-fold cross-validation approach, suggesting a structured validation process.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains results from a computational experiment evaluating a CAD model.

Freshness

Last updated 2026-05-04 17:50:48; freshness should be verified.