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abcd-study

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Skin lesion classification system using traditional machine learning on the HAM10000 dataset with GLCM texture features, HSV color histograms, and ABCD-inspired shape descriptors. Implements SMOTE for class balancing and compares SVM, Random Forest, and XGBoost models for 7-class skin cancer detection with sensitivity/specificity analysis.

  • Updated Apr 14, 2026
  • Jupyter Notebook

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