Retinal ORIGA: CAD Model Performance Results with GWO+ELM

Debendra Muduli published this dataset on figshare in 2026. It contains the effectiveness results of a proposed Computer-Aided Diagnosis (CAD) model evaluated on the Retinal ORIGA dataset. The results are presented as percentages from a 10 × 5-fold cross-validation approach using Grey Wolf Optimizer (GWO) and Extreme Learning Machine (ELM).

Use Cases

• Benchmarking CAD model performance based on reported accuracy percentages.
• Comparing cross-validation strategies based on the described 10 × 5-fold approach.
• Evaluating optimization algorithms based on the use of Grey Wolf Optimizer (GWO).
• Analyzing classifier performance based on the use of Extreme Learning Machine (ELM).

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, enabling quick download and inspection.
• The evaluation methodology (10 × 5-fold cross-validation) is specified in the description.

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

Likely contains performance metrics from computational experiments.

Freshness

Last updated 2026-05-04 17:50:49; freshness should be verified.