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In this article, the authors address classification as a process that can be automated. The primary focus is the analysis of dermatological skin changes by leveraging expert knowledge and factor analysis based on structural geometric patterns associated with skin diseases. Furthermore, the study explores the feasibility of remote classification using a hierarchical model designed to optimize computational efficiency. Additionally, the classification process incorporates rejected principal components to identify relevant factors accurately.

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Intensification of Dermatological Asymmetry Measure of Skin Lesions Using PCA

  • 会议论文

  • 发表日期：

    2026年

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  • Łukasz Wąs,
  • Sławomir Wiak

摘要

In this article, the authors address classification as a process that can be automated. The primary focus is the analysis of dermatological skin changes by leveraging expert knowledge and factor analysis based on structural geometric patterns associated with skin diseases. Furthermore, the study explores the feasibility of remote classification using a hierarchical model designed to optimize computational efficiency. Additionally, the classification process incorporates rejected principal components to identify relevant factors accurately.