Summary of Seven Recent Deep Learning Studies for Lung Cancer Detection

A 9.5 KB Excel file summarizing seven recent deep learning studies for lung cancer detection and classification using CT imaging. The dataset was authored by Nayab Asim and last updated on June 2, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Compare methodologies and results across recent studies based on the summary descriptions.
• Identify key trends in deep learning for lung cancer detection based on the compiled study information.
• Use as a starting point for literature review or meta-analysis on AI in medical imaging.

Strengths

• File size is 9.5 KB, making it quick to download and inspect.
• License is clearly stated as CC-BY-4.0, permitting reuse with attribution.
• Provides a focused summary on a specific, high-impact application of AI in medicine.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a summary of other studies, not a primary collection of imaging data or model outputs.

Provenance

Source

figshare

Collection Method

Likely compiled by the author from published literature.

Freshness

Last updated 2026-06-02 17:34:54; freshness should be verified.