CNN Model Performance Indices for Automated Prostate Cancer Cell Counting

Performance indices for a convolutional neural network model designed for automated prostate cancer cell counting. The dataset, created by Babak Kamali Doust Azad and last updated on May 4, 2026, is stored in a 5.5 KB XLS file. It supports a novel software system that uses images from mobile phone cameras for scalable cell enumeration.

Use Cases

• Benchmarking automated cell counting algorithms based on the described CNN and selective search pipeline.
• Evaluating the performance of machine learning models for medical image analysis in prostate cancer research.
• Comparing the accuracy of automated methods against traditional manual hemocytometry techniques.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, ensuring quick download and inspection.

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 experimental evaluation results from a study on automated cell counting.

Time Range

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Freshness

Last updated 2026-05-04 17:28:06; freshness should be verified.

Geography

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