Skin Disease Severity Analysis via Entropy Quantification
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Solution Overview
Problem
Current methods for assessing skin disease severity are subjective, inconsistent, and lack reproducibility, failing to provide a quantitative analysis that can effectively track disease progression and treatment effectiveness across various skin conditions.
Innovation Solution
A non-invasive method using digital imaging and a computer algorithm to quantify skin disease severity by calculating the entropy of skin images, comparing diseased skin to healthy skin, and providing a numerical score that reflects the level of randomness and disorder, applicable to various skin diseases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional visual inspection methods are used by physicians, then assessment can be performed quickly and simply, but the results are subjective and inconsistent
Solution Approach 1:
The patent replaces the mechanical/subjective visual inspection system with an automated image processing and entropy calculation system. Digital images of skin lesions are processed through algorithms that calculate entropy values, providing objective quantitative measurements that eliminate physician subjectivity while maintaining ease of operation through automated analysis.
Solution Approach 2:
The patent transforms the assessment from qualitative visual parameters to quantitative entropy parameters. By calculating entropy values from skin lesion images, the system converts subjective visual assessments into objective numerical measurements that can be consistently reproduced and compared across different physicians and time points.
2Measurement precision
If quantitative analysis methods are implemented, then measurement precision and objectivity are improved, but device complexity and time consumption increase
Solution Approach 1:
The patent replaces complex manual measurement and assessment procedures with automated computer-based image processing and entropy calculation algorithms. This substitution maintains high measurement precision and objectivity while reducing device complexity by using standard digital imaging equipment and automated software analysis rather than complex specialized instruments.
3Measurement precision
If detailed visual assessment is performed, then measurement precision may be improved, but time consumption increases
Solution Approach 1:
The patent replaces time-consuming detailed visual assessment with automated entropy calculation from digital images. The system quickly processes skin lesion images through entropy algorithms to provide detailed quantitative measurements without the time investment required for thorough manual visual inspection, thereby reducing assessment time while maintaining or improving measurement precision.
Data Source
AI summary
The present invention provides an analysis and method of quantifying the severity of skin diseases through the skin exhibited entropy. Quantitative analysis and evaluation of skin is a new, non-invasive, quick, and reproducible method of assessing skin disease and skin disease progression. The quantitative analysis of the skin disease applies a entropy algorithm to quantify the severity of the disease and compared to healthy skin. The method is applied in determination of the severity of the skin disease or applied to determine the effectiveness of the subsequent treatment modalities. It is highly reproducible and removes physician's own bias and past experience.


