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The paper proposes a privacy-preserving skin cancer screening framework using dermoscopy image processing, GLCM texture features, SVM classification and a federated learning framework integrating Artificial Bee Colony optimisation. The model achieves 99.02% accuracy.
Skin cancer requires early detection. Image processing can assist in analysing dermoscopic images, identifying lesion boundaries and distinguishing malignant from non-cancerous lesions while reducing reliance on invasive diagnostic procedures.