Order Parameter Extraction for Melanoma Detection
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Solution Overview
Problem
Existing methods for distinguishing between benign and malignant skin lesions are often subjective and lack quantitative accuracy, making early detection of melanoma type features challenging.
Innovation Solution
A method utilizing a numerical value of an order parameter (S2) extracted from dermatoscopic images, where S2 values below a predefined threshold indicate potential malignancy and values above indicate benignity, facilitating computer-aided diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective visual inspection methods are used to distinguish benign and malignant skin lesions, then the method is simple and easy to operate, but the measurement precision and reliability are insufficient
Solution Approach 1:
The patent replaces the mechanical/visual inspection system with an automated image processing system that extracts quantitative features (S2 order parameter) from dermatoscopic images. This substitution eliminates subjective human judgment while providing objective, reproducible measurements of lesion disorder characteristics, thereby improving diagnostic precision without requiring complex additional hardware beyond standard dermatoscopic imaging equipment
Solution Approach 2:
The patent transforms the qualitative visual assessment into a quantitative parameter-based diagnosis system. By calculating the S2 order parameter that measures the disorder of pixel intensity distributions in skin lesion images, the system converts subjective visual patterns into objective numerical values that can be precisely measured, compared, and thresholded for automated classification of benign versus malignant lesions
2Reliability
If quantitative image analysis is implemented to improve diagnosis accuracy, then the measurement precision improves, but the device complexity and computational requirements increase
Solution Approach 1:
The patent extracts the critical diagnostic information from complex dermatoscopic images by isolating and calculating a single key parameter - the S2 order parameter that quantifies the disorder of pixel intensity distributions. This extraction approach simplifies the diagnostic process by focusing on the most discriminative feature while filtering out redundant visual information, thereby improving reliability without proportionally increasing system complexity
Solution Approach 2:
The patent creates a simplified numerical representation (copy) of the complex visual image data by calculating the S2 order parameter. This numerical copy captures the essential diagnostic information about lesion disorder characteristics while being much simpler to process, store, and compare than the original high-resolution images, thus improving diagnostic reliability with minimal computational overhead
Data Source
AI summary
A method of distinguishing benign and malignant skin conditions includes extracting a numerical value corresponding to an order parameter from an image of skin having a pigmented region. The numerical value of the order parameter may be utilized to assess the likelihood that a skin lesion is benign or malignant. The precise value may also be utilized to assess severity, which may include detecting changes in a skin lesion over time.