A Comparative Study among Fuzzy C-Means Variants for Skin Lesion Segmentation

Key Points

• The study aims to compare various fuzzy c-means variants for their effectiveness in segmenting skin lesions.
• Conducted a comparative analysis of different fuzzy c-means algorithms.
• Applied algorithms to skin lesion images for segmentation.
• Evaluated performance based on accuracy and quality of segmentation.
• Identified key differences in segmentation performance between variants.
• Some algorithms demonstrated significantly better accuracy than others.