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What is Automated Skin Lesion Segmentation about?

The thesis presents a framework for the automatic segmentation of skin lesions from dermatological photographs to aid in melanoma detection, addressing the challenges posed by illumination variations in standard images. It develops a multi-stage illumination modeling algorithm to correct photographs and employs a texture-based segmentation algorithm to classify skin regions as normal or lesion. The proposed framework demonstrates superior segmentation accuracy and classification results compared to existing

Author

Sapna

Language

EN