sinahatami/cv-final-project
Cervical cancer prediction via the SIPaKMeD dataset. Compares HOG handcrafted features vs. VGG16 deep learning. Uses KMeans & SVM to achieve 87% accuracy in Pap smear cell classification. Created for the Computational Vision course.
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Feb 12, 2026
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