Deep Learning for Clinical Image Analysis: Literature Summary

A 9.5 KB Excel file summarizing studies that apply deep learning to identify CL in clinical images and their key limitations. The summary was authored by Karina Lumy Okita and last updated on 2026-05-27. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Surveying the landscape of deep learning applications in clinical imaging based on the described summary of studies.
• Identifying common methodological limitations in AI for medical image analysis based on the described key limitations.
• Benchmarking new research against existing work in the field of CL identification.
• Informing the design of new studies by learning from past challenges documented in the summary.

Strengths

• File size is precisely 9.5 KB, indicating a concise summary.
• Has a specific last update timestamp of 2026-05-27 17:49:58.
• Uses a standard, accessible XLS format.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely compiled from a review of published literature.

Freshness

Last updated 2026-05-27 17:49:58; freshness should be verified.