Additional file 3 of Development and validation of a deep learning radiomics model based o

Additional file 3 from a study on developing a deep learning radiomics model using ultrasound and clinical features. The dataset, published on figshare by Yumei Liu, is a 10.7 KB XLSX file last updated on 2026-04-11. Its specific content and row count are unknown.

Use Cases

• Training a model to predict patient prognosis from ultrasound radiomics (inferred from domain, verify after download)
• Analyzing the relationship between clinical features and treatment outcomes (inferred from domain, verify after download)
• Validating a multimodal deep learning model for medical imaging and tabular data (inferred from domain, verify after download)

Strengths

• Published on figshare with a clear CC-BY-4.0 license.
• File size is 10.7 KB, indicating a focused, manageable dataset.
• Last updated date is explicitly provided: 2026-04-11 03:38:36.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, which may limit suitability assessment.
• The dataset is a supplementary file; its standalone utility without the main study may be limited.

Provenance

Source

Yumei Liu via figshare.

Collection Method

Likely collected as supplementary material for a specific medical research study.

Time Range

null

Freshness

Last updated 2026-04-11 03:38:36.

Geography

null