<p dir="ltr"><b>Dataset and Source Code fo</b>r "<b> Thermal-Injury-Assisted Identificatio

A 1.8 MB ZIP file contains the dataset and source code for a computational framework published by Mohamed Abdelsabour Fahmy. The framework uses finite-duration thermal injury as an active diagnostic input to identify hidden hypermetabolic tissue embedded in multilayer human skin. It combines transient Pennes bioheat transfer, multilayer skin geometry, and inverse recovery of abnormal-region properties, intended as a publication-level basis for thermal-injury-assisted diagnosis.

Use Cases

• Simulating transient bioheat transfer in multilayer skin based on the described Pennes model.
• Inverse recovery of abnormal tissue geometry and thermophysical properties based on surface thermal data.
• Evaluating thermal injury and burn depth using the Arrhenius-type damage model mentioned in the description.
• Benchmarking boundary element method (BEM) solutions for repeated forward problems during optimization.

Strengths

• Includes a complete nomenclature, corrected governing equations, and methodological structure as stated in the manuscript.
• Provides representative results and validation tables for the proposed computational framework.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training tasks.
• The 1.8 MB size suggests a small-scale dataset, potentially limiting the scope of analysis.

Provenance

Source

Mohamed Abdelsabour Fahmy via figshare

Collection Method

Computational framework output, likely from simulations.

Freshness

Last updated 2026-05-30 19:19:38; freshness should be verified.