trinity652 / Skin-Cancer-Classifier
This project applies SIFT and SURF feature extraction, combined with Bag of Visual Words and K-Means clustering, to detect and classify skin cancer from images. It offers a comprehensive approach for accurate dermatological diagnosis, integrating advanced image processing and machine learning techniques to enhance detection & classification.
☆12Updated last year
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